alirezaaminzadeh/cve-riskrank huggingface dataset:
CVE-2020-15175 (published 2020-10-07)
In GLPI before version 9.5.2, the `​pluginimage.send.php​` endpoint allows a user to specify an image from a plugin. The parameters can be maliciously crafted to instead delete the .htaccess file for the files directory. Any user becomes able to read all the files and folders contained in “/files/”. Some of the sensitive information that is compromised are the user sessions, logs, and more. An attacker would be able to get the Administrators session token and use that to authenticate. The issue is patched in version 9.5.2.
Severity: CRITICAL (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N)
Weakness: CWE-552
Affected vendors: glpi-project
Affected products: glpi
CVE-2020-15176 (published 2020-10-07)
In GLPI before version 9.5.2, when supplying a back tick in input that gets put into a SQL query,the application does not escape or sanitize allowing for SQL Injection to occur. Leveraging this vulnerability an attacker is able to exfiltrate sensitive information like passwords, reset tokens, personal details, and more. The issue is patched in version 9.5.2
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:N)
Weakness: CWE-89
Affected vendors: glpi-project
Affected products: glpi
CVE-2020-15177 (published 2020-10-07)
In GLPI before version 9.5.2, the `install/install.php` endpoint insecurely stores user input into the database as `url_base` and `url_base_api`. These settings are referenced throughout the application and allow for vulnerabilities like Cross-Site Scripting and Insecure Redirection Since authentication is not required to perform these changes,anyone could point these fields at malicious websites or form input in a way to trigger XSS. Leveraging JavaScript it's possible to steal cookies, perform actions as the user, etc. The issue is patched in version 9.5.2.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N)
Weakness: CWE-79
Affected vendors: glpi-project
Affected products: glpi
CVE-2020-15178 (published 2020-09-15)
In PrestaShop contactform module (prestashop/contactform) before version 4.3.0, an attacker is able to inject JavaScript while using the contact form. The `message` field was incorrectly unescaped, possibly allowing attackers to execute arbitrary JavaScript in a victim's browser.
Severity: CRITICAL (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:N)
Weakness: CWE-79
Affected vendors: prestashop
Affected products: contactform
CVE-2020-15179 (published 2020-09-15)
The ScratchSig extension for MediaWiki before version 1.0.1 allows stored Cross-Site Scripting. Using <script> tag inside <scratchsig> tag, attackers with edit permission can execute scripts on visitors' browser. With MediaWiki JavaScript API, this can potentially lead to privilege escalation and/or account takeover. This has been patched in release 1.0.1. This has already been deployed to all Scratch Wikis. No workarounds exist other than disabling the extension completely.
Severity: CRITICAL (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:H)
Weakness: CWE-79
Affected vendors: scratch-wiki
Affected products: scratchsig
CVE-2020-1518 (published 2020-08-17)
An elevation of privilege vulnerability exists when the Windows File Server Resource Management Service improperly handles memory.
To exploit this vulnerability, an attacker would first have to gain execution on the victim system. An attacker could then run a specially crafted application to elevate privileges.
The security update addresses the vulnerability by correcting how the Windows File Server Resource Management Service handles memory.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H)
Affected vendors: microsoft
Affected products: windows_10, windows_7, windows_8.1, windows_rt_8.1, windows_server_2008, windows_server_2012, windows_server_2016, windows_server_2019
CVE-2020-15180 (published 2021-05-27)
A flaw was found in the mysql-wsrep component of mariadb. Lack of input sanitization in `wsrep_sst_method` allows for command injection that can be exploited by a remote attacker to execute arbitrary commands on galera cluster nodes. This threatens the system's confidentiality, integrity, and availability. This flaw affects mariadb versions before 10.1.47, before 10.2.34, before 10.3.25, before 10.4.15 and before 10.5.6.
Severity: CRITICAL (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H)
Weakness: CWE-20
Affected vendors: debian, galeracluster, mariadb, percona
Affected products: debian_linux, galera_cluster_for_mysql, mariadb, xtradb_cluster
CVE-2020-15181 (published 2020-09-18)
The Alfresco Reset Password add-on before version 1.2.0 relies on untrusted inputs in a security decision. Intruders can get admin's access to the system using the vulnerability in the project. Impacts all servers where this add-on is installed. The problem is fixed in version 1.2.0
Severity: CRITICAL (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H)
Weakness: CWE-20
Affected vendors: alfresco
Affected products: reset_password
CVE-2020-15182 (published 2020-09-17)
The SOY Inquiry component of SOY CMS is affected by Cross-site Request Forgery (CSRF) and Remote Code Execution (RCE). The vulnerability affects versions 2.0.0.3 and earlier of SOY Inquiry. This allows remote attackers to force the administrator to edit files once the administrator loads a specially crafted webpage. An administrator must be logged in for exploitation to be possible. This issue is fixed in SOY Inquiry version 2.0.0.4 and included in SOY CMS 3.0.2.328.
Severity: CRITICAL (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H)
Weakness: CWE-22
Affected vendors: soy_cms_project, soy_inquiry_project
Affected products: soy_cms, soy_inquiry
CVE-2020-15183 (published 2020-09-17)
SoyCMS 3.0.2 and earlier is affected by Reflected Cross-Site Scripting (XSS) which leads to Remote Code Execution (RCE) from a known vulnerability. This allows remote attackers to force the administrator to edit files once the adminsitrator loads a specially crafted webpage.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:H/UI:R/S:C/C:L/I:L/A:N)
Weakness: CWE-79
Affected vendors: soycms_project
Affected products: soycms
CVE-2020-15184 (published 2020-09-17)
In Helm before versions 2.16.11 and 3.3.2 there is a bug in which the `alias` field on a `Chart.yaml` is not properly sanitized. This could lead to the injection of unwanted information into a chart. This issue has been patched in Helm 3.3.2 and 2.16.11. A possible workaround is to manually review the `dependencies` field of any untrusted chart, verifying that the `alias` field is either not used, or (if used) does not contain newlines or path characters.
Severity: LOW (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:L/A:N)
Weakness: CWE-20
Affected vendors: helm
Affected products: helm
CVE-2020-15185 (published 2020-09-17)
In Helm before versions 2.16.11 and 3.3.2, a Helm repository can contain duplicates of the same chart, with the last one always used. If a repository is compromised, this lowers the level of access that an attacker needs to inject a bad chart into a repository. To perform this attack, an attacker must have write access to the index file (which can occur during a MITM attack on a non-SSL connection). This issue has been patched in Helm 3.3.2 and 2.16.11. A possible workaround is to manually review the index file in the Helm repository cache before installing software.
Severity: LOW (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:L/A:N)
Weakness: CWE-74
Affected vendors: helm
Affected products: helm
CVE-2020-15186 (published 2020-09-17)
In Helm before versions 2.16.11 and 3.3.2 plugin names are not sanitized properly. As a result, a malicious plugin author could use characters in a plugin name that would result in unexpected behavior, such as duplicating the name of another plugin or spoofing the output to `helm --help`. This issue has been patched in Helm 3.3.2. A possible workaround is to not install untrusted Helm plugins. Examine the `name` field in the `plugin.yaml` file for a plugin, looking for characters outside of the [a-zA-Z0-9._-] range.
Severity: LOW (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:L/A:N)
Weakness: CWE-20
Affected vendors: helm
Affected products: helm
CVE-2020-15187 (published 2020-09-17)
In Helm before versions 2.16.11 and 3.3.2, a Helm plugin can contain duplicates of the same entry, with the last one always used. If a plugin is compromised, this lowers the level of access that an attacker needs to modify a plugin's install hooks, causing a local execution attack.
To perform this attack, an attacker must have write access to the git repository or plugin archive (.tgz) while being downloaded (which can occur during a MITM attack on a non-SSL connection). This issue has been patched in Helm 2.16.11 and Helm 3.3.2.
As a possible workaround make sure to install plugins using a secure connection protocol like SSL.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:L/I:L/A:L)
Weakness: CWE-74
Affected vendors: helm
Affected products: helm
CVE-2020-15188 (published 2020-09-18)
SOY CMS 3.0.2.327 and earlier is affected by Unauthenticated Remote Code Execution (RCE). The allows remote attackers to execute any arbitrary code when the inquiry form feature is enabled by the service. The vulnerability is caused by unserializing the form without any restrictions. This was fixed in 3.0.2.328.
Severity: CRITICAL (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H)
Weakness: CWE-502
Affected vendors: brassica
Affected products: soy_cms
CVE-2020-15189 (published 2020-09-18)
SOY CMS 3.0.2 and earlier is affected by Remote Code Execution (RCE) using Unrestricted File Upload. Cross-Site Scripting(XSS) vulnerability that was used in CVE-2020-15183 can be used to increase impact by redirecting the administrator to access a specially crafted page. This vulnerability is caused by insecure configuration in elFinder. This is fixed in version 3.0.2.328.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H)
Weakness: CWE-434
Affected vendors: brassica
Affected products: soy_cms
CVE-2020-1519 (published 2020-08-17)
An elevation of privilege vulnerability exists when the Windows UPnP Device Host improperly handles memory.
To exploit this vulnerability, an attacker would first have to gain execution on the victim system. An attacker could then run a specially crafted application to elevate privileges.
The security update addresses the vulnerability by correcting how the Windows UPnP Device Host handles memory.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H)
Affected vendors: microsoft
Affected products: windows_10, windows_7, windows_8.1, windows_rt_8.1, windows_server_2008, windows_server_2012, windows_server_2016, windows_server_2019
CVE-2020-15190 (published 2020-09-25)
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `tf.raw_ops.Switch` operation takes as input a tensor and a boolean and outputs two tensors. Depending on the boolean value, one of the tensors is exactly the input tensor whereas the other one should be an empty tensor. However, the eager runtime traverses all tensors in the output. Since only one of the tensors is defined, the other one is `nullptr`, hence we are binding a reference to `nullptr`. This is undefined behavior and reported as an error if compiling with `-fsanitize=null`. In this case, this results in a segmentation fault The issue is patched in commit da8558533d925694483d2c136a9220d6d49d843c, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L)
Weakness: CWE-20
Affected vendors: google, opensuse
Affected products: leap, tensorflow
CVE-2020-15191 (published 2020-09-25)
In Tensorflow before versions 2.2.1 and 2.3.1, if a user passes an invalid argument to `dlpack.to_dlpack` the expected validations will cause variables to bind to `nullptr` while setting a `status` variable to the error condition. However, this `status` argument is not properly checked. Hence, code following these methods will bind references to null pointers. This is undefined behavior and reported as an error if compiling with `-fsanitize=null`. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L)
Weakness: CWE-20
Affected vendors: google, opensuse
Affected products: leap, tensorflow
CVE-2020-15192 (published 2020-09-25)
In Tensorflow before versions 2.2.1 and 2.3.1, if a user passes a list of strings to `dlpack.to_dlpack` there is a memory leak following an expected validation failure. The issue occurs because the `status` argument during validation failures is not properly checked. Since each of the above methods can return an error status, the `status` value must be checked before continuing. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L)
Weakness: CWE-20
Affected vendors: google, opensuse
Affected products: leap, tensorflow
CVE-2020-15193 (published 2020-09-25)
In Tensorflow before versions 2.2.1 and 2.3.1, the implementation of `dlpack.to_dlpack` can be made to use uninitialized memory resulting in further memory corruption. This is because the pybind11 glue code assumes that the argument is a tensor. However, there is nothing stopping users from passing in a Python object instead of a tensor. The uninitialized memory address is due to a `reinterpret_cast` Since the `PyObject` is a Python object, not a TensorFlow Tensor, the cast to `EagerTensor` fails. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:L)
Weakness: CWE-908
Affected vendors: google, opensuse
Affected products: leap, tensorflow
CVE-2020-15194 (published 2020-09-25)
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `SparseFillEmptyRowsGrad` implementation has incomplete validation of the shapes of its arguments. Although `reverse_index_map_t` and `grad_values_t` are accessed in a similar pattern, only `reverse_index_map_t` is validated to be of proper shape. Hence, malicious users can pass a bad `grad_values_t` to trigger an assertion failure in `vec`, causing denial of service in serving installations. The issue is patched in commit 390611e0d45c5793c7066110af37c8514e6a6c54, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1."
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L)
Weakness: CWE-20
Affected vendors: google, opensuse
Affected products: leap, tensorflow
CVE-2020-15195 (published 2020-09-25)
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the implementation of `SparseFillEmptyRowsGrad` uses a double indexing pattern. It is possible for `reverse_index_map(i)` to be an index outside of bounds of `grad_values`, thus resulting in a heap buffer overflow. The issue is patched in commit 390611e0d45c5793c7066110af37c8514e6a6c54, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H)
Weakness: CWE-119
Affected vendors: google, opensuse
Affected products: leap, tensorflow
CVE-2020-15196 (published 2020-09-25)
In Tensorflow version 2.3.0, the `SparseCountSparseOutput` and `RaggedCountSparseOutput` implementations don't validate that the `weights` tensor has the same shape as the data. The check exists for `DenseCountSparseOutput`, where both tensors are fully specified. In the sparse and ragged count weights are still accessed in parallel with the data. But, since there is no validation, a user passing fewer weights than the values for the tensors can generate a read from outside the bounds of the heap buffer allocated for the weights. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
Severity: CRITICAL (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H)
Weakness: CWE-119
Affected vendors: google
Affected products: tensorflow
CVE-2020-15197 (published 2020-09-25)
In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices` tensor has rank 2. This tensor must be a matrix because code assumes its elements are accessed as elements of a matrix. However, malicious users can pass in tensors of different rank, resulting in a `CHECK` assertion failure and a crash. This can be used to cause denial of service in serving installations, if users are allowed to control the components of the input sparse tensor. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:N/I:N/A:H)
Weakness: CWE-20
Affected vendors: google
Affected products: tensorflow
CVE-2020-15198 (published 2020-09-25)
In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices` tensor has the same shape as the `values` one. The values in these tensors are always accessed in parallel. Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:L/I:L/A:N)
Weakness: CWE-119
Affected vendors: google
Affected products: tensorflow
CVE-2020-15199 (published 2020-09-25)
In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the `splits` tensor has the minimum required number of elements. Code uses this quantity to initialize a different data structure. Since `BatchedMap` is equivalent to a vector, it needs to have at least one element to not be `nullptr`. If user passes a `splits` tensor that is empty or has exactly one element, we get a `SIGABRT` signal raised by the operating system. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-20
Affected vendors: google
Affected products: tensorflow
CVE-2020-1520 (published 2020-08-17)
A remote code execution vulnerability exists when the Windows Font Driver Host improperly handles memory.
An attacker who successfully exploited the vulnerability would gain execution on a victim system.
The security update addresses the vulnerability by correcting how the Windows Font Driver Host handles memory.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H)
Affected vendors: microsoft
Affected products: windows_10, windows_7, windows_8.1, windows_rt_8.1, windows_server_2008, windows_server_2012, windows_server_2016, windows_server_2019
CVE-2020-15200 (published 2020-09-25)
In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tensor. Thus, the code sets up conditions to cause a heap buffer overflow. A `BatchedMap` is equivalent to a vector where each element is a hashmap. However, if the first element of `splits_values` is not 0, `batch_idx` will never be 1, hence there will be no hashmap at index 0 in `per_batch_counts`. Trying to access that in the user code results in a segmentation fault. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-20
Affected vendors: google
Affected products: tensorflow
CVE-2020-15201 (published 2020-09-25)
In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tensor. Hence, the code is prone to heap buffer overflow. If `split_values` does not end with a value at least `num_values` then the `while` loop condition will trigger a read outside of the bounds of `split_values` once `batch_idx` grows too large. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N)
Weakness: CWE-20
Affected vendors: google
Affected products: tensorflow
CVE-2020-15202 (published 2020-09-25)
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `Shard` API in TensorFlow expects the last argument to be a function taking two `int64` (i.e., `long long`) arguments. However, there are several places in TensorFlow where a lambda taking `int` or `int32` arguments is being used. In these cases, if the amount of work to be parallelized is large enough, integer truncation occurs. Depending on how the two arguments of the lambda are used, this can result in segfaults, read/write outside of heap allocated arrays, stack overflows, or data corruption. The issue is patched in commits 27b417360cbd671ef55915e4bb6bb06af8b8a832 and ca8c013b5e97b1373b3bb1c97ea655e69f31a575, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
Severity: CRITICAL (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H)
Weakness: CWE-197
Affected vendors: google, opensuse
Affected products: leap, tensorflow
CVE-2020-15203 (published 2020-09-25)
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, by controlling the `fill` argument of tf.strings.as_string, a malicious attacker is able to trigger a format string vulnerability due to the way the internal format use in a `printf` call is constructed. This may result in segmentation fault. The issue is patched in commit 33be22c65d86256e6826666662e40dbdfe70ee83, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-20
Affected vendors: google, opensuse
Affected products: leap, tensorflow
CVE-2020-15204 (published 2020-09-25)
In eager mode, TensorFlow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1 does not set the session state. Hence, calling `tf.raw_ops.GetSessionHandle` or `tf.raw_ops.GetSessionHandleV2` results in a null pointer dereference In linked snippet, in eager mode, `ctx->session_state()` returns `nullptr`. Since code immediately dereferences this, we get a segmentation fault. The issue is patched in commit 9a133d73ae4b4664d22bd1aa6d654fec13c52ee1, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L)
Weakness: CWE-476
Affected vendors: google, opensuse
Affected products: leap, tensorflow
CVE-2020-15205 (published 2020-09-25)
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `data_splits` argument of `tf.raw_ops.StringNGrams` lacks validation. This allows a user to pass values that can cause heap overflow errors and even leak contents of memory In the linked code snippet, all the binary strings after `ee ff` are contents from the memory stack. Since these can contain return addresses, this data leak can be used to defeat ASLR. The issue is patched in commit 0462de5b544ed4731aa2fb23946ac22c01856b80, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
Severity: CRITICAL (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H)
Weakness: CWE-119
Affected vendors: google, opensuse
Affected products: leap, tensorflow
CVE-2020-15206 (published 2020-09-25)
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, changing the TensorFlow's `SavedModel` protocol buffer and altering the name of required keys results in segfaults and data corruption while loading the model. This can cause a denial of service in products using `tensorflow-serving` or other inference-as-a-service installments. Fixed were added in commits f760f88b4267d981e13f4b302c437ae800445968 and fcfef195637c6e365577829c4d67681695956e7d (both going into TensorFlow 2.2.0 and 2.3.0 but not yet backported to earlier versions). However, this was not enough, as #41097 reports a different failure mode. The issue is patched in commit adf095206f25471e864a8e63a0f1caef53a0e3a6, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-20
Affected vendors: google, opensuse
Affected products: leap, tensorflow
CVE-2020-15207 (published 2020-09-25)
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, to mimic Python's indexing with negative values, TFLite uses `ResolveAxis` to convert negative values to positive indices. However, the only check that the converted index is now valid is only present in debug builds. If the `DCHECK` does not trigger, then code execution moves ahead with a negative index. This, in turn, results in accessing data out of bounds which results in segfaults and/or data corruption. The issue is patched in commit 2d88f470dea2671b430884260f3626b1fe99830a, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
Severity: CRITICAL (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H)
Weakness: CWE-119
Affected vendors: google, opensuse
Affected products: leap, tensorflow
CVE-2020-15208 (published 2020-09-25)
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, when determining the common dimension size of two tensors, TFLite uses a `DCHECK` which is no-op outside of debug compilation modes. Since the function always returns the dimension of the first tensor, malicious attackers can craft cases where this is larger than that of the second tensor. In turn, this would result in reads/writes outside of bounds since the interpreter will wrongly assume that there is enough data in both tensors. The issue is patched in commit 8ee24e7949a203d234489f9da2c5bf45a7d5157d, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
Severity: CRITICAL (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H)
Weakness: CWE-125
Affected vendors: google, opensuse
Affected products: leap, tensorflow
CVE-2020-15209 (published 2020-09-25)
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, a crafted TFLite model can force a node to have as input a tensor backed by a `nullptr` buffer. This can be achieved by changing a buffer index in the flatbuffer serialization to convert a read-only tensor to a read-write one. The runtime assumes that these buffers are written to before a possible read, hence they are initialized with `nullptr`. However, by changing the buffer index for a tensor and implicitly converting that tensor to be a read-write one, as there is nothing in the model that writes to it, we get a null pointer dereference. The issue is patched in commit 0b5662bc, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-476
Affected vendors: google, opensuse
Affected products: leap, tensorflow
CVE-2020-1521 (published 2020-08-17)
An elevation of privilege vulnerability exists when the Windows Speech Runtime improperly handles memory.
To exploit this vulnerability, an attacker would first have to gain execution on the victim system. An attacker could then run a specially crafted application to elevate privileges.
The security update addresses the vulnerability by correcting how the Windows Speech Runtime handles memory.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H)
Affected vendors: microsoft
Affected products: windows_10, windows_server_2016, windows_server_2019
CVE-2020-15210 (published 2020-09-25)
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. We have patched the issue in d58c96946b and will release patch releases for all versions between 1.15 and 2.3. We recommend users to upgrade to TensorFlow 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:H)
Weakness: CWE-20
Affected vendors: google, opensuse
Affected products: leap, tensorflow
CVE-2020-15211 (published 2020-09-25)
In TensorFlow Lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, saved models in the flatbuffer format use a double indexing scheme: a model has a set of subgraphs, each subgraph has a set of operators and each operator has a set of input/output tensors. The flatbuffer format uses indices for the tensors, indexing into an array of tensors that is owned by the subgraph. This results in a pattern of double array indexing when trying to get the data of each tensor. However, some operators can have some tensors be optional. To handle this scenario, the flatbuffer model uses a negative `-1` value as index for these tensors. This results in special casing during validation at model loading time. Unfortunately, this means that the `-1` index is a valid tensor index for any operator, including those that don't expect optional inputs and including for output tensors. Thus, this allows writing and reading from outside the bounds of heap allocated arrays, although only at a specific offset from the start of these arrays. This results in both read and write gadgets, albeit very limited in scope. The issue is patched in several commits (46d5b0852, 00302787b7, e11f5558, cd31fd0ce, 1970c21, and fff2c83), and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1. A potential workaround would be to add a custom `Verifier` to the model loading code to ensure that only operators which accept optional inputs use the `-1` special value and only for the tensors that they expect to be optional. Since this allow-list type approach is erro-prone, we advise upgrading to the patched code.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N)
Weakness: CWE-125
Affected vendors: google, opensuse
Affected products: leap, tensorflow
CVE-2020-15212 (published 2020-09-25)
In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger writes outside of bounds of heap allocated buffers by inserting negative elements in the segment ids tensor. Users having access to `segment_ids_data` can alter `output_index` and then write to outside of `output_data` buffer. This might result in a segmentation fault but it can also be used to further corrupt the memory and can be chained with other vulnerabilities to create more advanced exploits. The issue is patched in commit 204945b19e44b57906c9344c0d00120eeeae178a and is released in TensorFlow versions 2.2.1, or 2.3.1. A potential workaround would be to add a custom `Verifier` to the model loading code to ensure that the segment ids are all positive, although this only handles the case when the segment ids are stored statically in the model. A similar validation could be done if the segment ids are generated at runtime between inference steps. If the segment ids are generated as outputs of a tensor during inference steps, then there are no possible workaround and users are advised to upgrade to patched code.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:H)
Weakness: CWE-787
Affected vendors: google
Affected products: tensorflow
CVE-2020-15213 (published 2020-09-25)
In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger a denial of service by causing an out of memory allocation in the implementation of segment sum. Since code uses the last element of the tensor holding them to determine the dimensionality of output tensor, attackers can use a very large value to trigger a large allocation. The issue is patched in commit 204945b19e44b57906c9344c0d00120eeeae178a and is released in TensorFlow versions 2.2.1, or 2.3.1. A potential workaround would be to add a custom `Verifier` to limit the maximum value in the segment ids tensor. This only handles the case when the segment ids are stored statically in the model, but a similar validation could be done if the segment ids are generated at runtime, between inference steps. However, if the segment ids are generated as outputs of a tensor during inference steps, then there are no possible workaround and users are advised to upgrade to patched code.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:N/I:N/A:L)
Weakness: CWE-119
Affected vendors: google
Affected products: tensorflow
CVE-2020-15214 (published 2020-09-25)
In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger a write out bounds / segmentation fault if the segment ids are not sorted. Code assumes that the segment ids are in increasing order, using the last element of the tensor holding them to determine the dimensionality of output tensor. This results in allocating insufficient memory for the output tensor and in a write outside the bounds of the output array. This usually results in a segmentation fault, but depending on runtime conditions it can provide for a write gadget to be used in future memory corruption-based exploits. The issue is patched in commit 204945b19e44b57906c9344c0d00120eeeae178a and is released in TensorFlow versions 2.2.1, or 2.3.1. A potential workaround would be to add a custom `Verifier` to the model loading code to ensure that the segment ids are sorted, although this only handles the case when the segment ids are stored statically in the model. A similar validation could be done if the segment ids are generated at runtime between inference steps. If the segment ids are generated as outputs of a tensor during inference steps, then there are no possible workaround and users are advised to upgrade to patched code.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:L/I:L/A:H)
Weakness: CWE-787
Affected vendors: google
Affected products: tensorflow
CVE-2020-15215 (published 2020-10-06)
Electron before versions 11.0.0-beta.6, 10.1.2, 9.3.1 or 8.5.2 is vulnerable to a context isolation bypass. Apps using both `contextIsolation` and `sandbox: true` are affected. Apps using both `contextIsolation` and `nodeIntegrationInSubFrames: true` are affected. This is a context isolation bypass, meaning that code running in the main world context in the renderer can reach into the isolated Electron context and perform privileged actions.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:L)
Weakness: CWE-668
Affected vendors: electronjs
Affected products: electron
CVE-2020-15216 (published 2020-09-29)
In goxmldsig (XML Digital Signatures implemented in pure Go) before version 1.1.0, with a carefully crafted XML file, an attacker can completely bypass signature validation and pass off an altered file as a signed one. A patch is available, all users of goxmldsig should upgrade to at least revision f6188febf0c29d7ffe26a0436212b19cb9615e64 or version 1.1.0
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:N)
Weakness: CWE-347
Affected vendors: fedoraproject, goxmldsig_project
Affected products: fedora, goxmldsig
CVE-2020-15217 (published 2020-10-07)
In GLPI before version 9.5.2, there is a leakage of user information through the public FAQ. The issue was introduced in version 9.5.0 and patched in 9.5.2. As a workaround, disable public access to the FAQ.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N)
Weakness: CWE-79
Affected vendors: glpi-project
Affected products: glpi
CVE-2020-15218 (published 2021-01-13)
Combodo iTop is a web based IT Service Management tool. In iTop before versions 2.7.2 and 3.0.0, admin pages are cached, so that their content is visible after deconnection by using the browser back button. This is fixed in versions 2.7.2 and 3.0.0.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:N/A:N)
Weakness: CWE-613
Affected vendors: combodo
Affected products: itop
CVE-2020-15219 (published 2021-01-13)
Combodo iTop is a web based IT Service Management tool. In iTop before versions 2.7.2 and 3.0.0, when a download error is triggered in the user portal, an SQL query is displayed to the user. This is fixed in versions 2.7.2 and 3.0.0.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N)
Weakness: CWE-209
Affected vendors: combodo
Affected products: itop
CVE-2020-1522 (published 2020-08-17)
An elevation of privilege vulnerability exists when the Windows Speech Runtime improperly handles memory.
To exploit this vulnerability, an attacker would first have to gain execution on the victim system. An attacker could then run a specially crafted application to elevate privileges.
The security update addresses the vulnerability by correcting how the Windows Speech Runtime handles memory.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H)
Affected vendors: microsoft
Affected products: windows_10, windows_server_2016, windows_server_2019
CVE-2020-15220 (published 2021-01-13)
Combodo iTop is a web based IT Service Management tool. In iTop before versions 2.7.2 and 3.0.0, two cookies are created for the same session, which leads to a possibility to steal user session. This is fixed in versions 2.7.2 and 3.0.0.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N)
Weakness: CWE-613
Affected vendors: combodo
Affected products: itop
CVE-2020-15221 (published 2021-01-13)
Combodo iTop is a web based IT Service Management tool. In iTop before versions 2.7.2 and 3.0.0, by modifying target browser local storage, an XSS can be generated in the iTop console breadcrumb. This is fixed in versions 2.7.2 and 3.0.0.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N)
Weakness: CWE-79
Affected vendors: combodo
Affected products: itop
CVE-2020-15222 (published 2020-09-24)
In ORY Fosite (the security first OAuth2 & OpenID Connect framework for Go) before version 0.31.0, when using "private_key_jwt" authentication the uniqueness of the `jti` value is not checked. When using client authentication method "private_key_jwt", OpenId specification says the following about assertion `jti`: "A unique identifier for the token, which can be used to prevent reuse of the token. These tokens MUST only be used once, unless conditions for reuse were negotiated between the parties". Hydra does not seem to check the uniqueness of this `jti` value. This problem is fixed in version 0.31.0.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N)
Weakness: CWE-287
Affected vendors: ory
Affected products: fosite
CVE-2020-15223 (published 2020-09-24)
In ORY Fosite (the security first OAuth2 & OpenID Connect framework for Go) before version 0.34.0, the `TokenRevocationHandler` ignores errors coming from the storage. This can lead to unexpected 200 status codes indicating successful revocation while the token is still valid. Whether an attacker can use this for her advantage depends on the ability to trigger errors in the store. This is fixed in version 0.34.0
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:C/C:H/I:H/A:N)
Weakness: CWE-755
Affected vendors: ory
Affected products: fosite
CVE-2020-15224 (published 2020-10-14)
In Open Enclave before version 0.12.0, an information disclosure vulnerability exists when an enclave application using the syscalls provided by the sockets.edl is loaded by a malicious host application. An attacker who successfully exploited the vulnerability could read privileged data from the enclave heap across trust boundaries. To exploit this vulnerability, an attacker would have to log on to an affected system and run a specially crafted application. The vulnerability would not allow an attacker to elevate user rights directly, but it could be used to obtain information otherwise considered confidential in an enclave, which could be used in further compromises. The issue has been addressed in version 0.12.0 and the current master branch. Users will need to to recompile their applications against the patched libraries to be protected from this vulnerability.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:A/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N)
Weakness: CWE-552
Affected vendors: openenclave
Affected products: openenclave
CVE-2020-15225 (published 2021-04-29)
django-filter is a generic system for filtering Django QuerySets based on user selections. In django-filter before version 2.4.0, automatically generated `NumberFilter` instances, whose value was later converted to an integer, were subject to potential DoS from maliciously input using exponential format with sufficiently large exponents. Version 2.4.0+ applies a `MaxValueValidator` with a a default `limit_value` of 1e50 to the form field used by `NumberFilter` instances. In addition, `NumberFilter` implements the new `get_max_validator()` which should return a configured validator instance to customise the limit, or else `None` to disable the additional validation. Users may manually apply an equivalent validator if they are not able to upgrade.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-681
Affected vendors: django-filter_project, fedoraproject
Affected products: django-filter, fedora
CVE-2020-15226 (published 2020-10-07)
In GLPI before version 9.5.2, there is a SQL Injection in the API's search function. Not only is it possible to break the SQL syntax, but it is also possible to utilise a UNION SELECT query to reflect sensitive information such as the current database version, or database user. The most likely scenario for this vulnerability is with someone who has an API account to the system. The issue is patched in version 9.5.2. A proof-of-concept with technical details is available in the linked advisory.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N)
Weakness: CWE-89
Affected vendors: glpi-project
Affected products: glpi
CVE-2020-15227 (published 2020-10-01)
Nette versions before 2.0.19, 2.1.13, 2.2.10, 2.3.14, 2.4.16, 3.0.6 are vulnerable to an code injection attack by passing specially formed parameters to URL that may possibly leading to RCE. Nette is a PHP/Composer MVC Framework.
Severity: CRITICAL (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H)
Weakness: CWE-74
Affected vendors: debian, nette
Affected products: application, debian_linux
CVE-2020-15228 (published 2020-10-01)
In the `@actions/core` npm module before version 1.2.6,`addPath` and `exportVariable` functions communicate with the Actions Runner over stdout by generating a string in a specific format. Workflows that log untrusted data to stdout may invoke these commands, resulting in the path or environment variables being modified without the intention of the workflow or action author. The runner will release an update that disables the `set-env` and `add-path` workflow commands in the near future. For now, users should upgrade to `@actions/core v1.2.6` or later, and replace any instance of the `set-env` or `add-path` commands in their workflows with the new Environment File Syntax. Workflows and actions using the old commands or older versions of the toolkit will start to warn, then error out during workflow execution.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:N/I:L/A:N)
Weakness: CWE-20
Affected vendors: toolkit_project
Affected products: toolkit
CVE-2020-15229 (published 2020-10-14)
Singularity (an open source container platform) from version 3.1.1 through 3.6.3 has a vulnerability. Due to insecure handling of path traversal and the lack of path sanitization within `unsquashfs`, it is possible to overwrite/create any files on the host filesystem during the extraction with a crafted squashfs filesystem. The extraction occurs automatically for unprivileged (either installation or with `allow setuid = no`) run of Singularity when a user attempt to run an image which is a local SIF image or a single file containing a squashfs filesystem and is coming from remote sources `library://` or `shub://`. Image build is also impacted in a more serious way as it can be used by a root user, allowing an attacker to overwrite/create files leading to a system compromise, so far bootstrap methods `library`, `shub` and `localimage` are triggering the squashfs extraction. This issue is addressed in Singularity 3.6.4. All users are advised to upgrade to 3.6.4 especially if they use Singularity mainly for building image as root user. There is no solid workaround except to temporary avoid to use unprivileged mode with single file images in favor of sandbox images instead. Regarding image build, temporary avoid to build from `library` and `shub` sources and as much as possible use `--fakeroot` or a VM for that.
Severity: CRITICAL (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:N)
Weakness: CWE-22
Affected vendors: opensuse, sylabs
Affected products: backports_sle, leap, singularity
CVE-2020-1523 (published 2020-09-11)
<p>A tampering vulnerability exists when Microsoft SharePoint Server fails to properly handle profile data. An attacker who successfully exploited this vulnerability could modify a targeted user's profile data.</p>
<p>To exploit the vulnerability, an attacker would need to be authenticated on an affected SharePoint Server. The attacker would then need to send a specially modified request to the server, targeting a specific user.</p>
<p>The security update addresses the vulnerability by modifying how Microsoft SharePoint Server handles profile data.</p>
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:L)
Affected vendors: microsoft
Affected products: sharepoint_server
CVE-2020-15230 (published 2020-10-02)
Vapor is a web framework for Swift. In Vapor before version 4.29.4, Attackers can access data at arbitrary filesystem paths on the same host as an application. Only applications using FileMiddleware are affected. This is fixed in version 4.29.4.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N)
Weakness: CWE-22
Affected vendors: vapor_project
Affected products: vapor
CVE-2020-15231 (published 2020-10-02)
In mapfish-print before version 3.24, a user can use the JSONP support to do a Cross-site scripting.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N)
Weakness: CWE-79
Affected vendors: mapfish
Affected products: print
CVE-2020-15232 (published 2020-10-02)
In mapfish-print before version 3.24, a user can do to an XML External Entity (XXE) attack with the provided SDL style.
Severity: CRITICAL (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:H)
Weakness: CWE-611
Affected vendors: mapfish
Affected products: print
CVE-2020-15233 (published 2020-10-02)
ORY Fosite is a security first OAuth2 & OpenID Connect framework for Go. In Fosite from version 0.30.2 and before version 0.34.1, there is an issue in which an an attacker can override the registered redirect URL by performing an OAuth flow and requesting a redirect URL that is to the loopback adapter. Attackers can provide both custom URL query parameters to their loopback redirect URL, as well as actually overriding the host of the registered redirect URL. These attacks are only applicable in scenarios where the attacker has access over the loopback interface. This vulnerability has been patched in ORY Fosite v0.34.1.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:H/UI:R/S:C/C:L/I:L/A:N)
Weakness: CWE-20
Affected vendors: ory
Affected products: fosite