yahoo-inc/cve-impacts huggingface dataset:
CVE-2020-15143: In SyliusResourceBundle before versions 1.3.14, 1.4.7, 1.5.2 and 1.6.4, rrequest parameters injected inside an expression evaluated by `symfony/expression-language` package haven't been sanitized properly. This allows the attacker to access any public service by manipulating that request parameter, allowing for Remote Code Execution. This issue has been patched for versions 1.3.14, 1.4.7, 1.5.2 and 1.6.4. Versions prior to 1.3 were not patched.
Key phrases: access any public service by manipulating that request, 1.3 were not patched, remote code execution
CVE-2020-15145: In Composer-Setup for Windows before version 6.0.0, if the developer's computer is shared with other users, a local attacker may be able to exploit the following scenarios. 1. A local regular user may modify the existing `C:\\\\ProgramData\\\\ComposerSetup\\\\bin\\\\composer.bat` in order to get elevated command execution when composer is run by an administrator. 2. A local regular user may create a specially crafted dll in the `C:\\\\ProgramData\\\\ComposerSetup\\\\bin` folder in order to get Local System privileges. See: https://itm4n.github.io/windows-server-netman-dll-hijacking. 3. If the directory of the php.exe selected by the user is not in the system path, it is added without checking that it is admin secured, as per Microsoft guidelines. See: https://msrc-blog.microsoft.com/2018/04/04/triaging-a-dll-planting-vulnerability.
Key phrases: command execution
CVE-2020-15146: In SyliusResourceBundle before versions 1.3.14, 1.4.7, 1.5.2 and 1.6.4, request parameters injected inside an expression evaluated by `symfony/expression-language` package haven't been sanitized properly. This allows the attacker to access any public service by manipulating that request parameter, allowing for Remote Code Execution. This issue has been patched for versions 1.3.14, 1.4.7, 1.5.2 and 1.6.4. Versions prior to 1.3 were not patched.
Key phrases: access any public service by manipulating that request, 1.3 were not patched, remote code execution
CVE-2020-15147: Red Discord Bot before versions 3.3.12 and 3.4 has a Remote Code Execution vulnerability in the Streams module. This exploit allows Discord users with specifically crafted "going live" messages to inject code into the Streams module's going live message. By abusing this exploit, it's possible to perform destructive actions and/or access sensitive information. As a workaround, unloading the Trivia module with `unload streams` can render this exploit not accessible. It is highly recommended updating to 3.3.12 or 3.4 to completely patch this issue.
Key phrases: inject code into the Streams module's going, remote code execution, destructive actions, access sensitive information
CVE-2020-15148: Yii 2 (yiisoft/yii2) before version 2.0.38 is vulnerable to remote code execution if the application calls `unserialize()` on arbitrary user input. This is fixed in version 2.0.38. A possible workaround without upgrading is available in the linked advisory.
Key phrases: remote code execution
CVE-2020-15149: NodeBB before version 1.14.3 has a bug introduced in version 1.12.2 in the validation logic that makes it possible to change the password of any user on a running NodeBB forum by sending a specially crafted socket.io call to the server. This could lead to a privilege escalation event due via an account takeover. As a workaround you may cherry-pick the following commit from the project's repository to your running instance of NodeBB: 16cee1b03ba3eee177834a1fdac4aa8a12b39d2a. This is fixed in version 1.14.3.
Key phrases: privilege escalation event, account takeover
CVE-2020-1515: <p>An elevation of privilege vulnerability exists when the Windows Telephony Server improperly handles memory.</p><p>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.</p><p>The security update addresses the vulnerability by correcting how the Windows Telephony Server handles memory.</p>
Key phrases: gain execution, elevation of privilege, elevation privilege
CVE-2020-15150: There is a vulnerability in Paginator (Elixir/Hex package) which makes it susceptible to Remote Code Execution (RCE) attacks via input parameters to the paginate() function. This will potentially affect all current users of Paginator prior to version 1.0.0. The vulnerability has been patched in version 1.0.0 and all users should upgrade to this version immediately. Note that this patched version uses a dependency that requires an Elixir version >=1.5.
Key phrases: remote code execution (rce)
CVE-2020-15151: OpenMage LTS before versions 19.4.6 and 20.0.2 allows attackers to circumvent the `fromkey protection` in the Admin Interface and increases the attack surface for Cross Site Request Forgery attacks. This issue is related to Adobe's CVE-2020-9690. It is patched in versions 19.4.6 and 20.0.2.
Key phrases: circumvent the `fromkey protection` in the, attack surface, cross site request forgery
CVE-2020-15152: ftp-srv is an npm package which is a modern and extensible FTP server designed to be simple yet configurable. In ftp-srv before versions 2.19.6, 3.1.2, and 4.3.4 are vulnerable to Server-Side Request Forgery. The PORT command allows arbitrary IPs which can be used to cause the server to make a connection elsewhere. A possible workaround is blocking the PORT through the configuration. This issue is fixed in version2 2.19.6, 3.1.2, and 4.3.4. More information can be found on the linked advisory.
Key phrases: allows arbitrary IPs, cause the server to make a connection elsewhere, server-side request forgery
CVE-2020-15153: Ampache before version 4.2.2 allows unauthenticated users to perform SQL injection. Refer to the referenced GitHub Security Advisory for details and a workaround. This is fixed in version 4.2.2 and the development branch.
Key phrases: perform SQL injection, sql injection
CVE-2020-15154: baserCMS 4.3.6 and earlier is affected by Cross Site Scripting (XSS) via arbitrary script execution. Admin access is required to exploit this vulnerability. The affected components are: content_fields.php, content_info.php, content_options.php, content_related.php, index_list_tree.php, jquery.bcTree.js. The issue is fixed in version 4.3.7.
Key phrases: cross site scripting (xss), arbitrary script execution
CVE-2020-15155: baserCMS 4.3.6 and earlier is affected by Cross Site Scripting (XSS) via arbitrary script execution. Admin access is required to exploit this vulnerability. The affected components is toolbar.php. The issue is fixed in version 4.3.7.
Key phrases: cross site scripting (xss), arbitrary script execution
CVE-2020-15156: In nodebb-plugin-blog-comments before version 0.7.0, a logged in user is vulnerable to an XSS attack which could allow a third party to post on their behalf on the forum. This is due to lack of CSRF validation.
Key phrases: post on their behalf on the forum, xss, csrf validation
CVE-2020-15157: In containerd (an industry-standard container runtime) before version 1.2.14 there is a credential leaking vulnerability. If a container image manifest in the OCI Image format or Docker Image V2 Schema 2 format includes a URL for the location of a specific image layer (otherwise known as a “foreign layer”), the default containerd resolver will follow that URL to attempt to download it. In v1.2.x but not 1.3.0 or later, the default containerd resolver will provide its authentication credentials if the server where the URL is located presents an HTTP 401 status code along with registry-specific HTTP headers. If an attacker publishes a public image with a manifest that directs one of the layers to be fetched from a web server they control and they trick a user or system into pulling the image, they can obtain the credentials used for pulling that image. In some cases, this may be the user's username and password for the registry. In other cases, this may be the credentials attached to the cloud virtual instance which can grant access to other cloud resources in the account. The default containerd resolver is used by the cri-containerd plugin (which can be used by Kubernetes), the ctr development tool, and other client programs that have explicitly linked against it. This vulnerability has been fixed in containerd 1.2.14. containerd 1.3 and later are not affected. If you are using containerd 1.3 or later, you are not affected. If you are using cri-containerd in the 1.2 series or prior, you should ensure you only pull images from trusted sources. Other container runtimes built on top of containerd but not using the default resolver (such as Docker) are not affected.
Key phrases: obtain the credentials, credential leaking
CVE-2020-15158: In libIEC61850 before version 1.4.3, when a message with COTP message length field with value < 4 is received an integer underflow will happen leading to heap buffer overflow. This can cause an application crash or on some platforms even the execution of remote code. If your application is used in open networks or there are untrusted nodes in the network it is highly recommend to apply the patch. This was patched with commit 033ab5b. Users of version 1.4.x should upgrade to version 1.4.3 when available. As a workaround changes of commit 033ab5b can be applied to older versions.
Key phrases: integer underflow, heap buffer overflow, application crash
CVE-2020-15159: baserCMS 4.3.6 and earlier is affected by Cross Site Scripting (XSS) and Remote Code Execution (RCE). This may be executed by logging in as a system administrator and uploading an executable script file such as a PHP file.The affected components are ThemeFilesController.php and UploaderFilesController.php. This is fixed in version 4.3.7.
Key phrases: cross site scripting (xss), remote code execution (rce)
CVE-2020-1516: <p>An elevation of privilege vulnerability exists when the Windows Work Folders Service improperly handles memory.</p><p>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.</p><p>The security update addresses the vulnerability by correcting how the Windows Work Folders Service handles memory.</p>
Key phrases: gain execution, elevation of privilege, elevation privilege
CVE-2020-15160: PrestaShop from version 1.7.5.0 and before version 1.7.6.8 is vulnerable to a blind SQL Injection attack in the Catalog Product edition page with location parameter. The problem is fixed in 1.7.6.8
Key phrases: sql injection
CVE-2020-15161: In PrestaShop from version 1.6.0.4 and before version 1.7.6.8 an attacker is able to inject javascript while using the contact form. The problem is fixed in 1.7.6.8
CVE-2020-15162: In PrestaShop from version 1.5.0.0 and before version 1.7.6.8, users are allowed to send compromised files. These attachments allowed people to input malicious JavaScript which triggered an XSS payload. The problem is fixed in version 1.7.6.8.
Key phrases: xss payload
CVE-2020-15163: Python TUF (The Update Framework) reference implementation before version 0.12 it will incorrectly trust a previously downloaded root metadata file which failed verification at download time. This allows an attacker who is able to serve multiple new versions of root metadata (i.e. by a person-in-the-middle attack) culminating in a version which has not been correctly signed to control the trust chain for future updates. This is fixed in version 0.12 and newer.
Key phrases: serve multiple new versions of root metadata (, person-in-the-middle, future updates
CVE-2020-15164: in Scratch Login (MediaWiki extension) before version 1.1, any account can be logged into by using the same username with leading, trailing, or repeated underscore(s), since those are treated as whitespace and trimmed by MediaWiki. This affects all users on any wiki using this extension. Since version 1.1, comments by users whose usernames would be trimmed on MediaWiki are ignored when searching for the verification code.
CVE-2020-15165: Version 1.1.6-free of Chameleon Mini Live Debugger on Google Play Store may have had it's sources or permissions tampered by a malicious actor. The official maintainer of the package is recommending all users upgrade to v1.1.8 as soon as possible. For more information, review the referenced GitHub Security Advisory.
CVE-2020-15166: In ZeroMQ before version 4.3.3, there is a denial-of-service vulnerability. Users with TCP transport public endpoints, even with CURVE/ZAP enabled, are impacted. If a raw TCP socket is opened and connected to an endpoint that is fully configured with CURVE/ZAP, legitimate clients will not be able to exchange any message. Handshakes complete successfully, and messages are delivered to the library, but the server application never receives them. This is patched in version 4.3.3.
Key phrases: denial-of-service, denial of service
CVE-2020-15167: In Miller (command line utility) using the configuration file support introduced in version 5.9.0, it is possible for an attacker to cause Miller to run arbitrary code by placing a malicious `.mlrrc` file in the working directory. See linked GitHub Security Advisory for complete details. A fix is ready and will be released as Miller 5.9.1.
Key phrases: run arbitrary code
CVE-2020-15168: node-fetch before versions 2.6.1 and 3.0.0-beta.9 did not honor the size option after following a redirect, which means that when a content size was over the limit, a FetchError would never get thrown and the process would end without failure. For most people, this fix will have a little or no impact. However, if you are relying on node-fetch to gate files above a size, the impact could be significant, for example: If you don't double-check the size of the data after fetch() has completed, your JS thread could get tied up doing work on a large file (DoS) and/or cost you money in computing.
Key phrases: dos
CVE-2020-15169: In Action View before versions 5.2.4.4 and 6.0.3.3 there is a potential Cross-Site Scripting (XSS) vulnerability in Action View's translation helpers. Views that allow the user to control the default (not found) value of the `t` and `translate` helpers could be susceptible to XSS attacks. When an HTML-unsafe string is passed as the default for a missing translation key named html or ending in _html, the default string is incorrectly marked as HTML-safe and not escaped. This is patched in versions 6.0.3.3 and 5.2.4.4. A workaround without upgrading is proposed in the source advisory.
Key phrases: control the default (not found) value, cross-site scripting (xss)
CVE-2020-1517: <p>An elevation of privilege vulnerability exists when the Windows File Server Resource Management Service improperly handles memory.</p><p>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.</p><p>The security update addresses the vulnerability by correcting how the Windows File Server Resource Management Service handles memory.</p>
Key phrases: gain execution, elevation of privilege, elevation privilege
CVE-2020-15170: apollo-adminservice before version 1.7.1 does not implement access controls. If users expose apollo-adminservice to internet(which is not recommended), there are potential security issues since apollo-adminservice is designed to work in intranet and it doesn't have access control built-in. Malicious hackers may access apollo-adminservice apis directly to access/edit the application's configurations. To fix the potential issue without upgrading, simply follow the advice that do not expose apollo-adminservice to internet.
CVE-2020-15171: In XWiki before versions 11.10.5 or 12.2.1, any user with SCRIPT right (EDIT right before XWiki 7.4) can gain access to the application server Servlet context which contains tools allowing to instantiate arbitrary Java objects and invoke methods that may lead to arbitrary code execution. The only workaround is to give SCRIPT right only to trusted users.
Key phrases: instantiate arbitrary Java objects, gain access, instantiate arbitrary Java objects and invoke methods that, arbitrary code execution
CVE-2020-15172: The Act module for Red Discord Bot before commit 6b9f3b86 is vulnerable to Remote Code Execution. With this exploit, Discord users can use specially crafted messages to perform destructive actions and/or access sensitive information. Unloading the Act module with `unload act` can render this exploit inaccessible.
Key phrases: remote code execution, destructive actions, inaccessible, access sensitive information
CVE-2020-15173: In ACCEL-PPP (an implementation of PPTP/PPPoE/L2TP/SSTP), there is a buffer overflow when receiving an l2tp control packet ith an AVP which type is a string and no hidden flags, length set to less than 6. If your application is used in open networks or there are untrusted nodes in the network it is highly recommended to apply the patch. The problem was patched with commit 2324bcd5ba12cf28f47357a8f03cd41b7c04c52b As a workaround changes of commit 2324bcd5ba12cf28f47357a8f03cd41b7c04c52b can be applied to older versions.
Key phrases: buffer overflow
CVE-2020-15174: In Electron before versions 11.0.0-beta.1, 10.0.1, 9.3.0 or 8.5.1 the `will-navigate` event that apps use to prevent navigations to unexpected destinations as per our security recommendations can be bypassed when a sub-frame performs a top-frame navigation across sites. The issue is patched in versions 11.0.0-beta.1, 10.0.1, 9.3.0 or 8.5.1 As a workaround sandbox all your iframes using the sandbox attribute. This will prevent them creating top-frame navigations and is good practice anyway.
CVE-2020-15175: 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.
Key phrases: specify an image from a plugin, sensitive information
CVE-2020-15176: 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
Key phrases: occur, sql injection, sensitive information
CVE-2020-15177: 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.
Key phrases: perform these changes, cross-site scripting, insecure redirection, xss, steal cookie
CVE-2020-15178: 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.
Key phrases: execute arbitrary JavaScript, execute arbitrary JavaScript in a victim's browser, incorrectly unescaped, arbitrary javascript
CVE-2020-15179: 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.
Key phrases: privilege escalation and/or account takeover, cross-site scripting
CVE-2020-1518: <p>An elevation of privilege vulnerability exists when the Windows File Server Resource Management Service improperly handles memory.</p><p>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.</p><p>The security update addresses the vulnerability by correcting how the Windows File Server Resource Management Service handles memory.</p>
Key phrases: gain execution, elevation of privilege, elevation privilege
CVE-2020-15180: 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.
Key phrases: execute arbitrary commands, execute arbitrary commands on galera cluster nodes, command injection, confidentiality, confidentiality and integrity, integrity and availability
CVE-2020-15181: 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
Key phrases: untrusted inputs, impacts all servers
CVE-2020-15182: 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.
Key phrases: force the administrator to edit files once the, cross-site request forgery (csrf), remote code execution (rce), exploitation
CVE-2020-15183: 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.
Key phrases: force the administrator to edit files once the, reflected cross-site scripting (xss), remote code execution (rce)
CVE-2020-15184: 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.
Key phrases: injection of unwanted information
CVE-2020-15185: 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.
Key phrases: mitm
CVE-2020-15186: 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.
Key phrases: unexpected behavior, spoofing
CVE-2020-15187: 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.
Key phrases: duplicates, local execution, mitm
CVE-2020-15188: 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.
Key phrases: execute any arbitrary code when the inquiry form, unauthenticated remote code execution (rce), execute arbitrary, execute arbitrary code
CVE-2020-15189: 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.
Key phrases: remote code execution (rce), unrestricted file upload, cross-site scripting(xss)
CVE-2020-1519: <p>An elevation of privilege vulnerability exists when the Windows UPnP Device Host improperly handles memory.</p><p>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.</p><p>The security update addresses the vulnerability by correcting how the Windows UPnP Device Host handles memory.</p>
Key phrases: gain execution, elevation of privilege, elevation privilege
CVE-2020-15190: 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.
Key phrases: undefined behavior, segmentation fault
CVE-2020-15191: 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.
Key phrases: null pointer, undefined behavior
CVE-2020-15192: 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.
Key phrases: memory leak
CVE-2020-15193: 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.
Key phrases: uninitialized memory, memory corruption
CVE-2020-15194: 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."
Key phrases: denial of service
CVE-2020-15195: 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.
Key phrases: heap buffer overflow
CVE-2020-15196: 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.
CVE-2020-15197: 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.
Key phrases: denial of service, crash
CVE-2020-15198: 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.
Key phrases: shape mismatch
CVE-2020-15199: 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.
CVE-2020-1520: <p>A remote code execution vulnerability exists when the Windows Font Driver Host improperly handles memory.</p><p>An attacker who successfully exploited the vulnerability would gain execution on a victim system.</p><p>The security update addresses the vulnerability by correcting how the Windows Font Driver Host handles memory.</p>
Key phrases: gain execution, remote code execution
CVE-2020-15200: 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.
Key phrases: heap buffer overflow, segmentation fault
CVE-2020-15201: 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.
Key phrases: heap buffer overflow
CVE-2020-15202: 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.
Key phrases: stack overflows, data corruption
CVE-2020-15203: 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.
Key phrases: format string, segmentation fault
CVE-2020-15204: 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.
Key phrases: null pointer, null pointer dereference, segmentation fault
CVE-2020-15205: 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.
Key phrases: pass values that can cause heap overflow errors, data leak
CVE-2020-15206: 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.
Key phrases: denial of service, data corruption
CVE-2020-15207: 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.
Key phrases: data corruption, code execution
CVE-2020-15208: 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.
Key phrases: reads writes outside of bounds
CVE-2020-15209: 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.
Key phrases: null pointer dereference
CVE-2020-1521: <p>An elevation of privilege vulnerability exists when the Windows Speech Runtime improperly handles memory.</p><p>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.</p><p>The security update addresses the vulnerability by correcting how the Windows Speech Runtime handles memory.</p>
Key phrases: gain execution, elevation of privilege, elevation privilege
CVE-2020-15210: 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.
Key phrases: memory corruption, segmentation fault
CVE-2020-15211: 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.
Key phrases: add a custom `Verifier` to the, the patched code
CVE-2020-15212: 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.
Key phrases: segmentation fault, corrupt memory
CVE-2020-15213: 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.
Key phrases: denial of service
CVE-2020-15214: 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.
Key phrases: memory corruption-based exploits, segmentation fault
CVE-2020-15215: 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.
Key phrases: context isolation bypass
CVE-2020-15216: 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
Key phrases: bypass signature validation, completely bypass
CVE-2020-15217: 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.
Key phrases: leakage of user information
CVE-2020-15218: 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.
Key phrases: cached