saikiranpennam/new_cves_pps huggingface dataset:
Explain the vulnerability: CVE-2021-29551
Description:TensorFlow is an end-to-end open source platform for machine learning. The implementation of `MatrixTriangularSolve`(https://github.com/tensorflow/tensorflow/blob/8cae746d8449c7dda5298327353d68613f16e798/tensorflow/core/kernels/linalg/matrix_triangular_solve_op_impl.h#L160-L240) fails to terminate kernel execution if one validation condition fails. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Explain the vulnerability: CVE-2021-29101
Description:ArcGIS GeoEvent Server versions 10.8.1 and below has a read-only directory path traversal vulnerability that could allow an unauthenticated, remote attacker to perform directory traversal attacks and read arbitrary files on the system.
Explain the vulnerability: CVE-2021-29414
Description:STMicroelectronics STM32L4 devices through 2021-03-29 have incorrect physical access control.
Explain the vulnerability: CVE-2021-29044
Description:Cross-site scripting (XSS) vulnerability in the Site module's membership request administration pages in Liferay Portal 7.0.0 through 7.3.5, and Liferay DXP 7.0 before fix pack 97, 7.1 before fix pack 21, 7.2 before fix pack 10 and 7.3 before fix pack 1 allows remote attackers to inject arbitrary web script or HTML via the _com_liferay_site_my_sites_web_portlet_MySitesPortlet_comments parameter.
Explain the vulnerability: CVE-2021-29947
Description:Mozilla developers and community members reported memory safety bugs present in Firefox 87. Some of these bugs showed evidence of memory corruption and we presume that with enough effort some of these could have been exploited to run arbitrary code. This vulnerability affects Firefox < 88.
Explain the vulnerability: CVE-2021-29697
Description:IBM Cloud Pak for Security (CP4S) 1.5.0.0, 1.5.1.0, 1.6.0.0, 1.6.1.0, 1.7.0.0, and 1.7.1.0 could allow a remote authenticated attacker to obtain sensitive information through HTTP requests that could be used in further attacks against the system.
Explain the vulnerability: CVE-2021-29678
Description:IBM Db2 for Linux, UNIX and Windows (includes Db2 Connect Server) 9.7, 10.1, 10.5, 11.1, and 11.5 could allow a user with DBADM authority to access other databases and read or modify files. IBM X-Force ID: 199914.
Explain the vulnerability: CVE-2021-29253
Description:The Tableau integration in RSA Archer 6.4 P1 (6.4.0.1) through 6.9 P2 (6.9.0.2) is affected by an insecure credential storage vulnerability. An malicious attacker with access to the Tableau workbook file may obtain access to credential information to use it in further attacks.
Explain the vulnerability: CVE-2021-29603
Description:TensorFlow is an end-to-end open source platform for machine learning. A specially crafted TFLite model could trigger an OOB write on heap in the TFLite implementation of `ArgMin`/`ArgMax`(https://github.com/tensorflow/tensorflow/blob/102b211d892f3abc14f845a72047809b39cc65ab/tensorflow/lite/kernels/arg_min_max.cc#L52-L59). If `axis_value` is not a value between 0 and `NumDimensions(input)`, then the condition in the `if` is never true, so code writes past the last valid element of `output_dims->data`. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Explain the vulnerability: CVE-2021-29068
Description:Certain NETGEAR devices are affected by a buffer overflow by an authenticated user. This affects R6700v3 before 1.0.4.98, R6400v2 before 1.0.4.98, R7000 before 1.0.11.106, R6900P before 1.3.2.124, R7000P before 1.3.2.124, R7900 before 1.0.4.26, R7850 before 1.0.5.60, R8000 before 1.0.4.58, RS400 before 1.5.0.48, R6400 before 1.0.1.62, R6700 before 1.0.2.16, R6900 before 1.0.2.16, MK60 before 1.0.5.102, MR60 before 1.0.5.102, MS60 before 1.0.5.102, CBR40 before 2.5.0.10, R8000P before 1.4.1.62, R7960P before 1.4.1.62, R7900P before 1.4.1.62, RAX15 before 1.0.1.64, RAX20 before 1.0.1.64, RAX75 before 1.0.3.102, RAX80 before 1.0.3.102, RAX200 before 1.0.2.102, RAX45 before 1.0.2.64, RAX50 before 1.0.2.64, EX7500 before 1.0.0.68, EAX80 before 1.0.1.62, EAX20 before 1.0.0.36, RBK752 before 3.2.16.6, RBK753 before 3.2.16.6, RBK753S before 3.2.16.6, RBK754 before 3.2.16.6, RBR750 before 3.2.16.6, RBS750 before 3.2.16.6, RBK852 before 3.2.16.6, RBK853 before 3.2.16.6, RBK854 before 3.2.16.6, RBR850 before 3.2.16.6, RBS850 before 3.2.16.6, RBR840 before 3.2.16.6, RBS840 before 3.2.16.6, R6120 before 1.0.0.70, R6220 before 1.1.0.100, R6230 before 1.1.0.100, R6260 before 1.1.0.76, R6850 before 1.1.0.76, R6350 before 1.1.0.76, R6330 before 1.1.0.76, D7800 before 1.0.1.58, RBK50 before 2.6.1.40, RBR50 before 2.6.1.40, RBS50 before 2.6.1.40, RBK40 before 2.6.1.36, RBR40 before 2.6.1.36, RBS40 before 2.6.1.38, RBK23 before 2.6.1.36, RBR20 before 2.6.1.38, RBS20 before 2.6.1.38, RBK12 before 2.6.1.44, RBK13 before 2.6.1.44, RBK14 before 2.6.1.44, RBK15 before 2.6.1.44, RBR10 before 2.6.1.44, RBS10 before 2.6.1.44, R6800 before 1.2.0.72, R6900v2 before 1.2.0.72, R6700v2 before 1.2.0.72, R7200 before 1.2.0.72, R7350 before 1.2.0.72, R7400 before 1.2.0.72, R7450 before 1.2.0.72, AC2100 before 1.2.0.72, AC2400 before 1.2.0.72, AC2600 before 1.2.0.72, R7800 before 1.0.2.74, R8900 before 1.0.5.24, R9000 before 1.0.5.24, RAX120 before 1.0.1.136, XR450 before 2.3.2.66, XR500 before 2.3.2.66, XR700 before 1.0.1.34, and XR300 before 1.0.3.50.
Explain the vulnerability: CVE-2021-29592
Description:TensorFlow is an end-to-end open source platform for machine learning. The fix for CVE-2020-15209(https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15209) missed the case when the target shape of `Reshape` operator is given by the elements of a 1-D tensor. As such, the fix for the vulnerability(https://github.com/tensorflow/tensorflow/blob/9c1dc920d8ffb4893d6c9d27d1f039607b326743/tensorflow/lite/core/subgraph.cc#L1062-L1074) allowed passing a null-buffer-backed tensor with a 1D shape. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Explain the vulnerability: CVE-2021-29438
Description:The Nextcloud dialogs library (npm package @nextcloud/dialogs) before 3.1.2 insufficiently escaped text input passed to a toast. If your application displays toasts with user-supplied input, this could lead to a XSS vulnerability. The vulnerability has been patched in version 3.1.2 If you need to display HTML in the toast, explicitly pass the `options.isHTML` config flag.
Explain the vulnerability: CVE-2021-29087
Description:Improper limitation of a pathname to a restricted directory ('Path Traversal') vulnerability in webapi component in Synology DiskStation Manager (DSM) before 6.2.3-25426-3 allows remote attackers to write arbitrary files via unspecified vectors.
Explain the vulnerability: CVE-2021-29984
Description:Instruction reordering resulted in a sequence of instructions that would cause an object to be incorrectly considered during garbage collection. This led to memory corruption and a potentially exploitable crash. This vulnerability affects Thunderbird < 78.13, Thunderbird < 91, Firefox ESR < 78.13, and Firefox < 91.
Explain the vulnerability: CVE-2021-29654
Description:AjaxSearchPro before 4.20.8 allows Deserialization of Untrusted Data (in the import database feature of the administration panel), leading to Remote Code execution.
Explain the vulnerability: CVE-2021-29584
Description:TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a `CHECK`-fail in caused by an integer overflow in constructing a new tensor shape. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/0908c2f2397c099338b901b067f6495a5b96760b/tensorflow/core/kernels/sparse_split_op.cc#L66-L70) builds a dense shape without checking that the dimensions would not result in overflow. The `TensorShape` constructor(https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/framework/tensor_shape.cc#L183-L188) uses a `CHECK` operation which triggers when `InitDims`(https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/framework/tensor_shape.cc#L212-L296) returns a non-OK status. This is a legacy implementation of the constructor and operations should use `BuildTensorShapeBase` or `AddDimWithStatus` to prevent `CHECK`-failures in the presence of overflows. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Explain the vulnerability: CVE-2021-29838
Description:IBM Security Guardium Insights 3.0 could allow a remote attacker to obtain sensitive information, caused by the failure to properly enable HTTP Strict Transport Security. An attacker could exploit this vulnerability to obtain sensitive information using man in the middle techniques.
Explain the vulnerability: CVE-2021-29091
Description:Improper limitation of a pathname to a restricted directory ('Path Traversal') vulnerability in file management component in Synology Photo Station before 6.8.14-3500 allows remote authenticated users to write arbitrary files via unspecified vectors.
Explain the vulnerability: CVE-2021-29212
Description:A remote unauthenticated directory traversal security vulnerability has been identified in HPE iLO Amplifier Pack versions 1.80, 1.81, 1.90 and 1.95. The vulnerability could be remotely exploited to allow an unauthenticated user to run arbitrary code leading complete impact to confidentiality, integrity, and availability of the iLO Amplifier Pack appliance.
Explain the vulnerability: CVE-2021-29642
Description:GistPad before 0.2.7 allows a crafted workspace folder to change the URL for the Gist API, which leads to leakage of GitHub access tokens.
Explain the vulnerability: CVE-2021-29707
Description:IBM HMC (Hardware Management Console) V9.1.910.0 and V9.2.950.0 could allow a local user to escalate their privileges to root access on a restricted shell. IBM X-Force ID: 200879.
Explain the vulnerability: CVE-2021-29880
Description:IBM QRadar SIEM 7.4.3 GA - 7.4.3 Fix Pack 1 when using domains or multi-tenancy could be vulnerable to information disclosure between tenants by routing SIEM data to the incorrect domain. IBM X-Force ID: 206979.
Explain the vulnerability: CVE-2021-29029
Description:A cross-site scripting (XSS) vulnerability in Bitweaver version 3.1.0 allows remote attackers to inject JavaScript via the /users/edit_personal_page.php URI.
Explain the vulnerability: CVE-2021-29479
Description:Ratpack is a toolkit for creating web applications. In versions prior to 1.9.0, a user supplied `X-Forwarded-Host` header can be used to perform cache poisoning of a cache fronting a Ratpack server if the cache key does not include the `X-Forwarded-Host` header as a cache key. Users are only vulnerable if they do not configure a custom `PublicAddress` instance. For versions prior to 1.9.0, by default, Ratpack utilizes an inferring version of `PublicAddress` which is vulnerable. This can be used to perform redirect cache poisoning where an attacker can force a cached redirect to redirect to their site instead of the intended redirect location. The vulnerability was patched in Ratpack 1.9.0. As a workaround, ensure that `ServerConfigBuilder::publicAddress` correctly configures the server in production.
Explain the vulnerability: CVE-2021-29245
Description:BTCPay Server through 1.0.7.0 uses a weak method Next to produce pseudo-random values to generate a legacy API key.
Explain the vulnerability: CVE-2021-29750
Description:IBM QRadar SIEM 7.3 and 7.4 uses weaker than expected cryptographic algorithms that could allow an attacker to decrypt highly sensitive information. IBM X-Force ID: 201778.
Explain the vulnerability: CVE-2021-29727
Description:IBM AIX 7.1, 7.2, and VIOS 3.1 could allow a local user to exploit a vulnerability in the AIX kernel to cause a denial of service. IBM X-Force ID: 201106.
Explain the vulnerability: CVE-2021-29662
Description:The Data::Validate::IP module through 0.29 for Perl does not properly consider extraneous zero characters at the beginning of an IP address string, which (in some situations) allows attackers to bypass access control that is based on IP addresses.
Explain the vulnerability: CVE-2021-29398
Description:Directory traversal in /northstar/Common/NorthFileManager/fileManagerObjects.jsp Northstar Technologies Inc NorthStar Club Management 6.3 allows remote unauthenticated users to browse and list the directories across the entire filesystem of the host of the web application.
Explain the vulnerability: CVE-2021-29818
Description:IBM Jazz for Service Management and IBM Tivoli Netcool/OMNIbus_GUI 8.1.0 is vulnerable to cross-site scripting. This vulnerability allows users to embed arbitrary JavaScript code in the Web UI thus altering the intended functionality potentially leading to credentials disclosure within a trusted session. IBM X-Force ID: 204345.
Explain the vulnerability: CVE-2021-29770
Description:IBM i2 Analyst's Notebook Premium (IBM i2 Analyze 4.3.0, 4.3.1, and 4.3.2) could allow an authenticated user to perform unauthorized actions due to hazardous input validation. IBM X-Force ID: 202771.
Explain the vulnerability: CVE-2021-29265
Description:An issue was discovered in the Linux kernel before 5.11.7. usbip_sockfd_store in drivers/usb/usbip/stub_dev.c allows attackers to cause a denial of service (GPF) because the stub-up sequence has race conditions during an update of the local and shared status, aka CID-9380afd6df70.
Explain the vulnerability: CVE-2021-29009
Description:A cross-site scripting (XSS) issue in SEO Panel 4.8.0 allows remote attackers to inject JavaScript via archive.php in the "type" parameter.
Explain the vulnerability: CVE-2021-29459
Description:XWiki Platform is a generic wiki platform offering runtime services for applications built on top of it. It is possible to persistently inject scripts in XWiki versions prior to 12.6.3 and 12.8. Unregistred users can fill simple text fields. Registered users can fill in their personal information and (if they have edit rights) fill the values of static lists using App Within Minutes. There is no easy workaround except upgrading XWiki. The vulnerability has been patched on XWiki 12.8 and 12.6.3.
Explain the vulnerability: CVE-2021-29623
Description:Exiv2 is a C++ library and a command-line utility to read, write, delete and modify Exif, IPTC, XMP and ICC image metadata. A read of uninitialized memory was found in Exiv2 versions v0.27.3 and earlier. Exiv2 is a command-line utility and C++ library for reading, writing, deleting, and modifying the metadata of image files. The read of uninitialized memory is triggered when Exiv2 is used to read the metadata of a crafted image file. An attacker could potentially exploit the vulnerability to leak a few bytes of stack memory, if they can trick the victim into running Exiv2 on a crafted image file. The bug is fixed in version v0.27.4.
Explain the vulnerability: CVE-2021-29859
Description:IBM ICP4A - User Management System Component (IBM Cloud Pak for Business Automation V21.0.3 through V21.0.3-IF008, V21.0.2 through V21.0.2-IF009, and V21.0.1 through V21.0.1-IF007) could allow a user with physical access to the system to perform unauthorized actions or obtain sensitive information due to insufficient validation and recvocation another user logouting out. IBM X-Force ID: 206081.
Explain the vulnerability: CVE-2021-29048
Description:Cross-site scripting (XSS) vulnerability in the Layout module's page administration page in Liferay Portal 7.3.4, 7.3.5 and Liferay DXP 7.2 before fix pack 11 and 7.3 before fix pack 1 allows remote attackers to inject arbitrary web script or HTML via the _com_liferay_layout_admin_web_portlet_GroupPagesPortlet_name parameter.
Explain the vulnerability: CVE-2021-29418
Description:The netmask package before 2.0.1 for Node.js mishandles certain unexpected characters in an IP address string, such as an octal digit of 9. This (in some situations) allows attackers to bypass access control that is based on IP addresses. NOTE: this issue exists because of an incomplete fix for CVE-2021-28918.
Explain the vulnerability: CVE-2021-29930
Description:An issue was discovered in the arenavec crate through 2021-01-12 for Rust. A drop of uninitialized memory can sometimes occur upon a panic in T::default().
Explain the vulnerability: CVE-2021-29033
Description:A cross-site scripting (XSS) vulnerability in Bitweaver version 3.1.0 allows remote attackers to inject JavaScript via the /users/admin/edit_group.php URI.
Explain the vulnerability: CVE-2021-29463
Description:Exiv2 is a command-line utility and C++ library for reading, writing, deleting, and modifying the metadata of image files. An out-of-bounds read was found in Exiv2 versions v0.27.3 and earlier. The out-of-bounds read is triggered when Exiv2 is used to write metadata into a crafted image file. An attacker could potentially exploit the vulnerability to cause a denial of service by crashing Exiv2, if they can trick the victim into running Exiv2 on a crafted image file. Note that this bug is only triggered when writing the metadata, which is a less frequently used Exiv2 operation than reading the metadata. For example, to trigger the bug in the Exiv2 command-line application, you need to add an extra command-line argument such as `insert`. The bug is fixed in version v0.27.4.
Explain the vulnerability: CVE-2021-29526
Description:TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a division by 0 in `tf.raw_ops.Conv2D`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/988087bd83f144af14087fe4fecee2d250d93737/tensorflow/core/kernels/conv_ops.cc#L261-L263) does a division by a quantity that is controlled by the caller. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Explain the vulnerability: CVE-2021-29875
Description:IBM InfoSphere Information Server 11.7 could allow an attacker to obtain sensitive information due to a insecure third party domain access vulnerability. IBM X-Force ID: 206572.
Explain the vulnerability: CVE-2021-29208
Description:A remote dom xss, crlf injection vulnerability was discovered in HPE Integrated Lights-Out 4 (iLO 4); HPE SimpliVity 380 Gen9; HPE Integrated Lights-Out 5 (iLO 5) for HPE Gen10 Servers; HPE SimpliVity 380 Gen10; HPE SimpliVity 2600; HPE SimpliVity 380 Gen10 G; HPE SimpliVity 325; HPE SimpliVity 380 Gen10 H version(s): Prior to version 2.78.
Explain the vulnerability: CVE-2021-29658
Description:The unofficial vscode-rufo extension before 0.0.4 for Visual Studio Code allows attackers to execute arbitrary binaries if the user opens a crafted workspace folder.
Explain the vulnerability: CVE-2021-29434
Description:Wagtail is a Django content management system. In affected versions of Wagtail, when saving the contents of a rich text field in the admin interface, Wagtail does not apply server-side checks to ensure that link URLs use a valid protocol. A malicious user with access to the admin interface could thus craft a POST request to publish content with `javascript:` URLs containing arbitrary code. The vulnerability is not exploitable by an ordinary site visitor without access to the Wagtail admin. See referenced GitHub advisory for additional details, including a workaround. Patched versions have been released as Wagtail 2.11.7 (for the LTS 2.11 branch) and Wagtail 2.12.4 (for the current 2.12 branch).
Explain the vulnerability: CVE-2021-29967
Description:Mozilla developers reported memory safety bugs present in Firefox 88 and Firefox ESR 78.11. Some of these bugs showed evidence of memory corruption and we presume that with enough effort some of these could have been exploited to run arbitrary code. This vulnerability affects Thunderbird < 78.11, Firefox < 89, and Firefox ESR < 78.11.
Explain the vulnerability: CVE-2021-29988
Description:Firefox incorrectly treated an inline list-item element as a block element, resulting in an out of bounds read or memory corruption, and a potentially exploitable crash. This vulnerability affects Thunderbird < 78.13, Thunderbird < 91, Firefox ESR < 78.13, and Firefox < 91.
Explain the vulnerability: CVE-2021-29571
Description:TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPoolGradWithArgmax` can cause reads outside of bounds of heap allocated data if attacker supplies specially crafted inputs. The implementation(https://github.com/tensorflow/tensorflow/blob/31bd5026304677faa8a0b77602c6154171b9aec1/tensorflow/core/kernels/image/draw_bounding_box_op.cc#L116-L130) assumes that the last element of `boxes` input is 4, as required by [the op](https://www.tensorflow.org/api_docs/python/tf/raw_ops/DrawBoundingBoxesV2). Since this is not checked attackers passing values less than 4 can write outside of bounds of heap allocated objects and cause memory corruption. If the last dimension in `boxes` is less than 4, accesses similar to `tboxes(b, bb, 3)` will access data outside of bounds. Further during code execution there are also writes to these indices. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Explain the vulnerability: CVE-2021-29971
Description:If a user had granted a permission to a webpage and saved that grant, any webpage running on the same host - irrespective of scheme or port - would be granted that permission. *This bug only affects Firefox for Android. Other operating systems are unaffected.*. This vulnerability affects Firefox < 90.
Explain the vulnerability: CVE-2021-29072
Description:Certain NETGEAR devices are affected by command injection by an authenticated user. This affects RBK852 before 3.2.17.12, RBK853 before 3.2.17.12, RBK854 before 3.2.17.12, RBR850 before 3.2.17.12, and RBS850 before 3.2.17.12.
Explain the vulnerability: CVE-2021-29588
Description:TensorFlow is an end-to-end open source platform for machine learning. The optimized implementation of the `TransposeConv` TFLite operator is [vulnerable to a division by zero error](https://github.com/tensorflow/tensorflow/blob/0d45ea1ca641b21b73bcf9c00e0179cda284e7e7/tensorflow/lite/kernels/internal/optimized/optimized_ops.h#L5221-L5222). An attacker can craft a model such that `stride_{h,w}` values are 0. Code calling this function must validate these arguments. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Explain the vulnerability: CVE-2021-29137
Description:A remote URL redirection vulnerability was discovered in Aruba AirWave Management Platform version(s) prior to 8.2.12.1. Aruba has released patches for AirWave Management Platform that address this security vulnerability.
Explain the vulnerability: CVE-2021-29567
Description:TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in `tf.raw_ops.SparseDenseCwiseMul`, an attacker can trigger denial of service via `CHECK`-fails or accesses to outside the bounds of heap allocated data. Since the implementation(https://github.com/tensorflow/tensorflow/blob/38178a2f7a681a7835bb0912702a134bfe3b4d84/tensorflow/core/kernels/sparse_dense_binary_op_shared.cc#L68-L80) only validates the rank of the input arguments but no constraints between dimensions(https://www.tensorflow.org/api_docs/python/tf/raw_ops/SparseDenseCwiseMul), an attacker can abuse them to trigger internal `CHECK` assertions (and cause program termination, denial of service) or to write to memory outside of bounds of heap allocated tensor buffers. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Explain the vulnerability: CVE-2021-29834
Description:IBM Business Automation Workflow 18.0.0.0, 18.0.0.1, 18.0.0.2, 19.0.0.1, 19.0.0.2, 19.0.0.3,20.0.0.1, 20.0.0.2, and 21.0.2 and IBM Business Process Manager 8.5 and 8.6 are vulnerable to stored cross-site scripting. This vulnerability allows users to embed arbitrary JavaScript code in the Web UI thus altering the intended functionality potentially leading to credentials disclosure within a trusted session. IBM X-Force ID: 204832.
Explain the vulnerability: CVE-2021-29249
Description:BTCPay Server before 1.0.6.0, when the payment button is used, has a privacy vulnerability.
Explain the vulnerability: CVE-2021-29619
Description:TensorFlow is an end-to-end open source platform for machine learning. Passing invalid arguments (e.g., discovered via fuzzing) to `tf.raw_ops.SparseCountSparseOutput` results in segfault. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Explain the vulnerability: CVE-2021-29475
Description:HedgeDoc (formerly known as CodiMD) is an open-source collaborative markdown editor. An attacker is able to receive arbitrary files from the file system when exporting a note to PDF. Since the code injection has to take place as note content, there fore this exploit requires the attackers ability to modify a note. This will affect all instances, which have pdf export enabled. This issue has been fixed by https://github.com/hedgedoc/hedgedoc/commit/c1789474020a6d668d616464cb2da5e90e123f65 and is available in version 1.5.0. Starting the CodiMD/HedgeDoc instance with `CMD_ALLOW_PDF_EXPORT=false` or set `"allowPDFExport": false` in config.json can mitigate this issue for those who cannot upgrade. This exploit works because while PhantomJS doesn't actually render the `file:///` references to the PDF file itself, it still uses them internally, and exfiltration is possible, and easy through JavaScript rendering. The impact is pretty bad, as the attacker is able to read the CodiMD/HedgeDoc `config.json` file as well any other files on the filesystem. Even though the suggested Docker deploy option doesn't have many interesting files itself, the `config.json` still often contains sensitive information, database credentials, and maybe OAuth secrets among other things.
Explain the vulnerability: CVE-2021-29025
Description:A cross-site scripting (XSS) vulnerability in Bitweaver version 3.1.0 allows remote attackers to inject JavaScript via the /users/my_images.php URI.
Explain the vulnerability: CVE-2021-29863
Description:IBM QRadar SIEM 7.3 and 7.4 is vulnerable to server side request forgery (SSRF). This may allow an authenticated attacker to send unauthorized requests from the system, potentially leading to network enumeration or facilitating other attacks. This vulnerability is due to an incomplete fix for CVE-2020-4786. IBM X-Force ID: 206087.
Explain the vulnerability: CVE-2021-29474
Description:HedgeDoc (formerly known as CodiMD) is an open-source collaborative markdown editor. An attacker can read arbitrary `.md` files from the server's filesystem due to an improper input validation, which results in the ability to perform a relative path traversal. To verify if you are affected, you can try to open the following URL: `http://localhost:3000/..%2F..%2FREADME#` (replace `http://localhost:3000` with your instance's base-URL e.g. `https://demo.hedgedoc.org/..%2F..%2FREADME#`). If you see a README page being rendered, you run an affected version. The attack works due the fact that the internal router passes the url-encoded alias to the `noteController.showNote`-function. This function passes the input directly to findNote() utility function, that will pass it on the the parseNoteId()-function, that tries to make sense out of the noteId/alias and check if a note already exists and if so, if a corresponding file on disk was updated. If no note exists the note creation-function is called, which pass this unvalidated alias, with a `.md` appended, into a path.join()-function which is read from the filesystem in the follow up routine and provides the pre-filled content of the new note. This allows an attacker to not only read arbitrary `.md` files from the filesystem, but also observes changes to them. The usefulness of this attack can be considered limited, since mainly markdown files are use the file-ending `.md` and all markdown files contained in the hedgedoc project, like the README, are public anyway. If other protections such as a chroot or container or proper file permissions are in place, this attack's usefulness is rather limited. On a reverse-proxy level one can force a URL-decode, which will prevent this attack because the router will not accept such a path.
Explain the vulnerability: CVE-2021-29024
Description:In InvoicePlane 1.5.11 a misconfigured web server allows unauthenticated directory listing and file download. Allowing an attacker to directory traversal and download files suppose to be private without authentication.
Explain the vulnerability: CVE-2021-29531
Description:TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a `CHECK` fail in PNG encoding by providing an empty input tensor as the pixel data. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/e312e0791ce486a80c9d23110841525c6f7c3289/tensorflow/core/kernels/image/encode_png_op.cc#L57-L60) only validates that the total number of pixels in the image does not overflow. Thus, an attacker can send an empty matrix for encoding. However, if the tensor is empty, then the associated buffer is `nullptr`. Hence, when calling `png::WriteImageToBuffer`(https://github.com/tensorflow/tensorflow/blob/e312e0791ce486a80c9d23110841525c6f7c3289/tensorflow/core/kernels/image/encode_png_op.cc#L79-L93), the first argument (i.e., `image.flat<T>().data()`) is `NULL`. This then triggers the `CHECK_NOTNULL` in the first line of `png::WriteImageToBuffer`(https://github.com/tensorflow/tensorflow/blob/e312e0791ce486a80c9d23110841525c6f7c3289/tensorflow/core/lib/png/png_io.cc#L345-L349). Since `image` is null, this results in `abort` being called after printing the stacktrace. Effectively, this allows an attacker to mount a denial of service attack. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Explain the vulnerability: CVE-2021-29248
Description:BTCPay Server through 1.0.7.0 could allow a remote attacker to obtain sensitive information, caused by failure to set the Secure flag for a cookie.
Explain the vulnerability: CVE-2021-29618
Description:TensorFlow is an end-to-end open source platform for machine learning. Passing a complex argument to `tf.transpose` at the same time as passing `conjugate=True` argument results in a crash. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Explain the vulnerability: CVE-2021-29970
Description:A malicious webpage could have triggered a use-after-free, memory corruption, and a potentially exploitable crash. *This bug could only be triggered when accessibility was enabled.*. This vulnerability affects Thunderbird < 78.12, Firefox ESR < 78.12, and Firefox < 90.
Explain the vulnerability: CVE-2021-29073
Description:Certain NETGEAR devices are affected by a stack-based buffer overflow by an authenticated user. This affects R8000P before 1.4.1.66, MK62 before 1.0.6.110, MR60 before 1.0.6.110, MS60 before 1.0.6.110, R7960P before 1.4.1.66, R7900P before 1.4.1.66, RAX15 before 1.0.2.82, RAX20 before 1.0.2.82, RAX45 before 1.0.2.72, RAX50 before 1.0.2.72, RAX75 before 1.0.3.106, RAX80 before 1.0.3.106, and RAX200 before 1.0.3.106.
Explain the vulnerability: CVE-2021-29589
Description:TensorFlow is an end-to-end open source platform for machine learning. The reference implementation of the `GatherNd` TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/0d45ea1ca641b21b73bcf9c00e0179cda284e7e7/tensorflow/lite/kernels/internal/reference/reference_ops.h#L966). An attacker can craft a model such that `params` input would be an empty tensor. In turn, `params_shape.Dims(.)` would be zero, in at least one dimension. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Explain the vulnerability: CVE-2021-29566
Description:TensorFlow is an end-to-end open source platform for machine learning. An attacker can write outside the bounds of heap allocated arrays by passing invalid arguments to `tf.raw_ops.Dilation2DBackpropInput`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/afd954e65f15aea4d438d0a219136fc4a63a573d/tensorflow/core/kernels/dilation_ops.cc#L321-L322) does not validate before writing to the output array. The values for `h_out` and `w_out` are guaranteed to be in range for `out_backprop` (as they are loop indices bounded by the size of the array). However, there are no similar guarantees relating `h_in_max`/`w_in_max` and `in_backprop`. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Explain the vulnerability: CVE-2021-29835
Description:IBM Business Automation Workflow 18.0, 19.0, 20.0, and 21.0 is vulnerable to cross-site scripting. This vulnerability allows users to embed arbitrary JavaScript code in the Web UI thus altering the intended functionality potentially leading to credentials disclosure within a trusted session. IBM X-Force ID: 204833.
Explain the vulnerability: CVE-2021-29065
Description:NETGEAR RBR850 devices before 3.2.10.11 are affected by authentication bypass.
Explain the vulnerability: CVE-2021-29966
Description:Mozilla developers reported memory safety bugs present in Firefox 88. Some of these bugs showed evidence of memory corruption and we presume that with enough effort some of these could have been exploited to run arbitrary code. This vulnerability affects Firefox < 89.
Explain the vulnerability: CVE-2021-29989
Description:Mozilla developers reported memory safety bugs present in Firefox 90 and Firefox ESR 78.12. Some of these bugs showed evidence of memory corruption and we presume that with enough effort some of these could have been exploited to run arbitrary code. This vulnerability affects Thunderbird < 78.13, Firefox ESR < 78.13, and Firefox < 91.
Explain the vulnerability: CVE-2021-29823
Description:IBM Cognos Analytics 11.1.7, 11.2.0, and 11.2.1 is vulnerable to cross-site request forgery which could allow an attacker to execute malicious and unauthorized actions transmitted from a user that the website trusts. IBM X-Force ID: 204465.
Explain the vulnerability: CVE-2021-29570
Description:TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPoolGradWithArgmax` can cause reads outside of bounds of heap allocated data if attacker supplies specially crafted inputs. The implementation(https://github.com/tensorflow/tensorflow/blob/ef0c008ee84bad91ec6725ddc42091e19a30cf0e/tensorflow/core/kernels/maxpooling_op.cc#L1016-L1017) uses the same value to index in two different arrays but there is no guarantee that the sizes are identical. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Explain the vulnerability: CVE-2021-29659
Description:ownCloud 10.7 has an incorrect access control vulnerability, leading to remote information disclosure. Due to a bug in the related API endpoint, the attacker can enumerate all users in a single request by entering three whitespaces. Secondary, the retrieval of all users on a large instance could cause higher than average load on the instance.
Explain the vulnerability: CVE-2021-29032
Description:A cross-site scripting (XSS) vulnerability in Bitweaver version 3.1.0 allows remote attackers to inject JavaScript via the /users/preferences.php URI.
Explain the vulnerability: CVE-2021-29527
Description:TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a division by 0 in `tf.raw_ops.QuantizedConv2D`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/00e9a4d67d76703fa1aee33dac582acf317e0e81/tensorflow/core/kernels/quantized_conv_ops.cc#L257-L259) does a division by a quantity that is controlled by the caller. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Explain the vulnerability: CVE-2021-29049
Description:Cross-site scripting (XSS) vulnerability in the Portal Workflow module's edit process page in Liferay DXP 7.0 before fix pack 99, 7.1 before fix pack 23, 7.2 before fix pack 12 and 7.3 before fix pack 1, allows remote attackers to inject arbitrary web script or HTML via the currentURL parameter.
Explain the vulnerability: CVE-2021-29337
Description:MODAPI.sys in MSI Dragon Center 2.0.104.0 allows low-privileged users to access kernel memory and potentially escalate privileges via a crafted IOCTL 0x9c406104 call. This IOCTL provides the MmMapIoSpace feature for mapping physical memory.
Explain the vulnerability: CVE-2021-29272
Description:bluemonday before 1.0.5 allows XSS because certain Go lowercasing converts an uppercase Cyrillic character, defeating a protection mechanism against the "script" string.
Explain the vulnerability: CVE-2021-29788
Description:IBM Engineering Requirements Quality Assistant On-Premises (All versions) is vulnerable to cross-site scripting. This vulnerability allows users to embed arbitrary JavaScript code in the Web UI thus altering the intended functionality potentially leading to credentials disclosure within a trusted session. IBM X-Force ID: 203310.
Explain the vulnerability: CVE-2021-29622
Description:Prometheus is an open-source monitoring system and time series database. In 2.23.0, Prometheus changed its default UI to the New ui. To ensure a seamless transition, the URL's prefixed by /new redirect to /. Due to a bug in the code, it is possible for an attacker to craft an URL that can redirect to any other URL, in the /new endpoint. If a user visits a prometheus server with a specially crafted address, they can be redirected to an arbitrary URL. The issue was patched in the 2.26.1 and 2.27.1 releases. In 2.28.0, the /new endpoint will be removed completely. The workaround is to disable access to /new via a reverse proxy in front of Prometheus.
Explain the vulnerability: CVE-2021-29008
Description:A cross-site scripting (XSS) issue in SEO Panel 4.8.0 allows remote attackers to inject JavaScript via webmaster-tools.php in the "to_time" parameter.
Explain the vulnerability: CVE-2021-29458
Description:Exiv2 is a command-line utility and C++ library for reading, writing, deleting, and modifying the metadata of image files. An out-of-bounds read was found in Exiv2 versions v0.27.3 and earlier. The out-of-bounds read is triggered when Exiv2 is used to write metadata into a crafted image file. An attacker could potentially exploit the vulnerability to cause a denial of service by crashing Exiv2, if they can trick the victim into running Exiv2 on a crafted image file. Note that this bug is only triggered when writing the metadata, which is a less frequently used Exiv2 operation than reading the metadata. For example, to trigger the bug in the Exiv2 command-line application, you need to add an extra command-line argument such as insert. The bug is fixed in version v0.27.4.
Explain the vulnerability: CVE-2021-29771
Description:IBM InfoSphere Information Server 11.7 is vulnerable to cross-site scripting. This vulnerability allows users to embed arbitrary JavaScript code in the Web UI thus altering the intended functionality potentially leading to credentials disclosure within a trusted session.
Explain the vulnerability: CVE-2021-29264
Description:An issue was discovered in the Linux kernel through 5.11.10. drivers/net/ethernet/freescale/gianfar.c in the Freescale Gianfar Ethernet driver allows attackers to cause a system crash because a negative fragment size is calculated in situations involving an rx queue overrun when jumbo packets are used and NAPI is enabled, aka CID-d8861bab48b6.
Explain the vulnerability: CVE-2021-29819
Description:IBM Jazz for Service Management and IBM Tivoli Netcool/OMNIbus_GUI 8.1.0 is vulnerable to cross-site scripting. This vulnerability allows users to embed arbitrary JavaScript code in the Web UI thus altering the intended functionality potentially leading to credentials disclosure within a trusted session. IBM X-Force ID: 204346.
Explain the vulnerability: CVE-2021-29376
Description:ircII before 20210314 allows remote attackers to cause a denial of service (segmentation fault and client crash, disconnecting the victim from an IRC server) via a crafted CTCP UTC message.
Explain the vulnerability: CVE-2021-29663
Description:CourseMS (aka Course Registration Management System) 2.1 is affected by cross-site scripting (XSS). When an attacker with access to an Admin account creates a Job Title in the Site area (aka the admin/add_jobs.php name parameter), they can insert an XSS payload. This payload will execute whenever anyone visits the registration page.
Explain the vulnerability: CVE-2021-29399
Description:XMB is vulnerable to cross-site scripting (XSS) due to inadequate filtering of BBCode input. This bug affects all versions of XMB. All XMB installations must be updated to versions 1.9.12.03 or 1.9.11.16.
Explain the vulnerability: CVE-2021-29614
Description:TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.io.decode_raw` produces incorrect results and crashes the Python interpreter when combining `fixed_length` and wider datatypes. The implementation of the padded version(https://github.com/tensorflow/tensorflow/blob/1d8903e5b167ed0432077a3db6e462daf781d1fe/tensorflow/core/kernels/decode_padded_raw_op.cc) is buggy due to a confusion about pointer arithmetic rules. First, the code computes(https://github.com/tensorflow/tensorflow/blob/1d8903e5b167ed0432077a3db6e462daf781d1fe/tensorflow/core/kernels/decode_padded_raw_op.cc#L61) the width of each output element by dividing the `fixed_length` value to the size of the type argument. The `fixed_length` argument is also used to determine the size needed for the output tensor(https://github.com/tensorflow/tensorflow/blob/1d8903e5b167ed0432077a3db6e462daf781d1fe/tensorflow/core/kernels/decode_padded_raw_op.cc#L63-L79). This is followed by reencoding code(https://github.com/tensorflow/tensorflow/blob/1d8903e5b167ed0432077a3db6e462daf781d1fe/tensorflow/core/kernels/decode_padded_raw_op.cc#L85-L94). The erroneous code is the last line above: it is moving the `out_data` pointer by `fixed_length * sizeof(T)` bytes whereas it only copied at most `fixed_length` bytes from the input. This results in parts of the input not being decoded into the output. Furthermore, because the pointer advance is far wider than desired, this quickly leads to writing to outside the bounds of the backing data. This OOB write leads to interpreter crash in the reproducer mentioned here, but more severe attacks can be mounted too, given that this gadget allows writing to periodically placed locations in memory. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Explain the vulnerability: CVE-2021-29213
Description:A potential local bypass of security restrictions vulnerability has been identified in HPE ProLiant DL20 Gen10, HPE ProLiant ML30 Gen10, and HPE ProLiant MicroServer Gen10 Plus server's system ROMs prior to version 2.52. The vulnerability could be locally exploited to cause disclosure of sensitive information, denial of service (DoS), and/or compromise system integrity.
Explain the vulnerability: CVE-2021-29643
Description:PRTG Network Monitor before 21.3.69.1333 allows stored XSS via an unsanitized string imported from a User Object in a connected Active Directory instance.
Explain the vulnerability: CVE-2021-29706
Description:IBM AIX 7.1 could allow a non-privileged local user to exploit a vulnerability in the trace facility to expose sensitive information or cause a denial of service. IBM X-Force ID: 200663.
Explain the vulnerability: CVE-2021-29090
Description:Improper neutralization of special elements used in an SQL command ('SQL Injection') vulnerability in PHP component in Synology Photo Station before 6.8.14-3500 allows remote authenticated users to execute arbitrary SQL command via unspecified vectors.
Explain the vulnerability: CVE-2021-29205
Description:A remote xss vulnerability was discovered in HPE Integrated Lights-Out 4 (iLO 4); HPE SimpliVity 380 Gen9; HPE Integrated Lights-Out 5 (iLO 5) for HPE Gen10 Servers; HPE SimpliVity 380 Gen10; HPE SimpliVity 2600; HPE SimpliVity 380 Gen10 G; HPE SimpliVity 325; HPE SimpliVity 380 Gen10 H version(s): Prior to version 2.78.
Explain the vulnerability: CVE-2021-29069
Description:Certain NETGEAR devices are affected by command injection by an authenticated user. This affects XR450 before 2.3.2.114, XR500 before 2.3.2.114, and WNR2000v5 before 1.0.0.76.
Explain the vulnerability: CVE-2021-29593
Description:TensorFlow is an end-to-end open source platform for machine learning. The implementation of the `BatchToSpaceNd` TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/b5ed552fe55895aee8bd8b191f744a069957d18d/tensorflow/lite/kernels/batch_to_space_nd.cc#L81-L82). An attacker can craft a model such that one dimension of the `block` input is 0. Hence, the corresponding value in `block_shape` is 0. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Explain the vulnerability: CVE-2021-29439
Description:The Grav admin plugin prior to version 1.10.11 does not correctly verify caller's privileges. As a consequence, users with the permission `admin.login` can install third-party plugins and their dependencies. By installing the right plugin, an attacker can obtain an arbitrary code execution primitive and elevate their privileges on the instance. The vulnerability has been addressed in version 1.10.11. As a mitigation blocking access to the `/admin` path from untrusted sources will reduce the probability of exploitation.
Explain the vulnerability: CVE-2021-29086
Description:Exposure of sensitive information to an unauthorized actor vulnerability in webapi component in Synology DiskStation Manager (DSM) before 6.2.3-25426-3 allows remote attackers to obtain sensitive information via unspecified vectors.
Explain the vulnerability: CVE-2021-29985
Description:A use-after-free vulnerability in media channels could have led to memory corruption and a potentially exploitable crash. This vulnerability affects Thunderbird < 78.13, Thunderbird < 91, Firefox ESR < 78.13, and Firefox < 91.