yahoo-inc/cve-impacts huggingface dataset:
CVE-2022-23544: MeterSphere is a one-stop open source continuous testing platform, covering test management, interface testing, UI testing and performance testing. Versions prior to 2.5.0 are subject to a Server-Side Request Forgery that leads to Cross-Site Scripting. A Server-Side request forgery in `IssueProxyResourceService::getMdImageByUrl` allows an attacker to access internal resources, as well as executing JavaScript code in the context of Metersphere's origin by a victim of a reflected XSS. This vulnerability has been fixed in v2.5.0. There are no known workarounds.
Key phrases: access internal resources, server-side request forgery, cross-site scripting, reflected xss
CVE-2022-23546: In version 2.9.0.beta14 of Discourse, an open-source discussion platform, maliciously embedded urls can leak an admin's digest of recent topics, possibly exposing private information. A patch is available for version 2.9.0.beta15. There are no known workarounds for this issue.
Key phrases: maliciously embedded urls
CVE-2022-23547: PJSIP is a free and open source multimedia communication library written in C language implementing standard based protocols such as SIP, SDP, RTP, STUN, TURN, and ICE. This issue is similar to GHSA-9pfh-r8x4-w26w. Possible buffer overread when parsing a certain STUN message. The vulnerability affects applications that uses STUN including PJNATH and PJSUA-LIB. The patch is available as commit in the master branch.
Key phrases: buffer overread
CVE-2022-23548: Discourse is an option source discussion platform. Prior to version 2.8.14 on the `stable` branch and version 2.9.0.beta16 on the `beta` and `tests-passed` branches, parsing posts can be susceptible to regular expression denial of service (ReDoS) attacks. This issue is patched in versions 2.8.14 and 2.9.0.beta16. There are no known workarounds.
Key phrases: denial of service (ReDoS), regular expression denial of service (redos)
CVE-2022-23549: Discourse is an option source discussion platform. Prior to version 2.8.14 on the `stable` branch and version 2.9.0.beta16 on the `beta` and `tests-passed` branches, users can create posts with raw body longer than the `max_length` site setting by including html comments that are not counted toward the character limit. This issue is patched in versions 2.8.14 and 2.9.0.beta16. There are no known workarounds.
CVE-2022-2355: The Easy Username Updater WordPress plugin before 1.0.5 does not implement CSRF checks, which could allow attackers to make a logged in admin change any user's username includes the admin
Key phrases: make a logged in admin change any user, csrf checks
CVE-2022-23551: aad-pod-identity assigns Azure Active Directory identities to Kubernetes applications and has now been deprecated as of 24 October 2022. The NMI component in AAD Pod Identity intercepts and validates token requests based on regex. In this case, a token request made with backslash in the request (example: `/metadata/identity\\\\oauth2\\\\token/`) would bypass the NMI validation and be sent to IMDS allowing a pod in the cluster to access identities that it shouldn't have access to. This issue has been fixed and has been included in AAD Pod Identity release version 1.8.13. If using the AKS pod-managed identities add-on, no action is required. The clusters should now be running the version 1.8.13 release.
Key phrases: bypass the NMI validation, access identities that it shouldn't have access
CVE-2022-23552: Grafana is an open-source platform for monitoring and observability. Starting with the 8.1 branch and prior to versions 8.5.16, 9.2.10, and 9.3.4, Grafana had a stored XSS vulnerability affecting the core plugin GeoMap. The stored XSS vulnerability was possible because SVG files weren't properly sanitized and allowed arbitrary JavaScript to be executed in the context of the currently authorized user of the Grafana instance. An attacker needs to have the Editor role in order to change a panel to include either an external URL to a SVG-file containing JavaScript, or use the `data:` scheme to load an inline SVG-file containing JavaScript. This means that vertical privilege escalation is possible, where a user with Editor role can change to a known password for a user having Admin role if the user with Admin role executes malicious JavaScript viewing a dashboard.   Users may upgrade to version 8.5.16, 9.2.10, or 9.3.4 to receive a fix.
Key phrases: allowed arbitrary JavaScript, stored xss, vertical privilege escalation
CVE-2022-23553: Alpine is a scaffolding library in Java. Alpine prior to version 1.10.4 allows URL access filter bypass. This issue has been fixed in version 1.10.4. There are no known workarounds.
Key phrases: URL access filter bypass, url access filter bypass
CVE-2022-23554: Alpine is a scaffolding library in Java. Alpine prior to version 1.10.4 allows Authentication Filter bypass. The AuthenticationFilter relies on the request URI to evaluate if the user is accessing the swagger endpoint. By accessing a URL with a path such as /api/foo;%2fapi%2fswagger the contains condition will hold and will return from the authentication filter without aborting the request. Note that the principal object will not be assigned and therefore the issue wont allow user impersonation. This issue has been fixed in version 1.10.4. There are no known workarounds.
Key phrases: Authentication Filter bypass, evaluate if the user is accessing the swagger, user impersonation, authentication filter bypass
CVE-2022-23555: authentik is an open-source Identity Provider focused on flexibility and versatility. Versions prior to 2022.11.4 and 2022.10.4 are vulnerable to Improper Authentication. Token reuse in invitation URLs leads to access control bypass via the use of a different enrollment flow than in the one provided. The vulnerability allows an attacker that knows different invitation flows names (e.g. `enrollment-invitation-test` and `enrollment-invitation-admin`) via either different invite links or via brute forcing to signup via a single invitation url for any valid invite link received (it can even be a url for a third flow as long as it's a valid invite) as the token used in the `Invitations` section of the Admin interface does NOT change when a different `enrollment flow` is selected via the interface and it is NOT bound to the selected flow, so it will be valid for any flow when used. This issue is patched in authentik 2022.11.4,2022.10.4 and 2022.12.0. Only configurations that use invitations and have multiple enrollment flows with invitation stages that grant different permissions are affected. The default configuration is not vulnerable, and neither are configurations with a single enrollment flow.  As a workaround, fixed data can be added to invitations which can be checked in the flow to deny requests. Alternatively, an identifier with high entropy (like a UUID) can be used as flow slug, mitigating the attack vector by exponentially decreasing the possibility of discovering other flows.
Key phrases: bypass via the use of a different enrollment flow, access control bypass, signup via a single invitation url for any, improper authentication, token reuse, brute forcing, attack vector
CVE-2022-23556: CodeIgniter is a PHP full-stack web framework. This vulnerability may allow attackers to spoof their IP address when the server is behind a reverse proxy. This issue has been patched, please upgrade to version 4.2.11 or later, and configure `Config\\\\App::$proxyIPs`. As a workaround, do not use `$request->getIPAddress()`.
Key phrases: spoof their IP address when the server is, spoofing
CVE-2022-23557: Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would trigger a division by zero in `BiasAndClamp` implementation. There is no check that the `bias_size` is non zero. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Key phrases: division by zero
CVE-2022-23558: Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in `TfLiteIntArrayCreate`. The `TfLiteIntArrayGetSizeInBytes` returns an `int` instead of a `size_t. An attacker can control model inputs such that `computed_size` overflows the size of `int` datatype. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Key phrases: integer overflow
CVE-2022-23559: Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in embedding lookup operations. Both `embedding_size` and `lookup_size` are products of values provided by the user. Hence, a malicious user could trigger overflows in the multiplication. In certain scenarios, this can then result in heap OOB read/write. Users are advised to upgrade to a patched version.
Key phrases: integer overflow, heap oob read write
CVE-2022-2356: The Frontend File Manager & Sharing WordPress plugin before 1.1.3 does not filter file extensions when letting users upload files on the server, which may lead to malicious code being uploaded.
CVE-2022-23560: Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would allow limited reads and writes outside of arrays in TFLite. This exploits missing validation in the conversion from sparse tensors to dense tensors. The fix is included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. Users are advised to upgrade as soon as possible.
Key phrases: dense tensors, missing validation
CVE-2022-23561: Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause a write outside of bounds of an array in TFLite. In fact, the attacker can override the linked list used by the memory allocator. This can be leveraged for an arbitrary write primitive under certain conditions. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Key phrases: arbitrary write primitive
CVE-2022-23562: Tensorflow is an Open Source Machine Learning Framework. The implementation of `Range` suffers from integer overflows. These can trigger undefined behavior or, in some scenarios, extremely large allocations. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Key phrases: integer overflows, undefined behavior
CVE-2022-23563: Tensorflow is an Open Source Machine Learning Framework. In multiple places, TensorFlow uses `tempfile.mktemp` to create temporary files. While this is acceptable in testing, in utilities and libraries it is dangerous as a different process can create the file between the check for the filename in `mktemp` and the actual creation of the file by a subsequent operation (a TOC/TOU type of weakness). In several instances, TensorFlow was supposed to actually create a temporary directory instead of a file. This logic bug is hidden away by the `mktemp` function usage. We have patched the issue in several commits, replacing `mktemp` with the safer `mkstemp`/`mkdtemp` functions, according to the usage pattern. Users are advised to upgrade as soon as possible.
Key phrases: toc tou type of weakness
CVE-2022-23564: Tensorflow is an Open Source Machine Learning Framework. When decoding a resource handle tensor from protobuf, a TensorFlow process can encounter cases where a `CHECK` assertion is invalidated based on user controlled arguments. This allows attackers to cause denial of services in TensorFlow processes. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Key phrases: cause denial of services in TensorFlow processes, `check` assertion
CVE-2022-23565: Tensorflow is an Open Source Machine Learning Framework. An attacker can trigger denial of service via assertion failure by altering a `SavedModel` on disk such that `AttrDef`s of some operation are duplicated. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Key phrases: denial of service, assertion failure
CVE-2022-23566: Tensorflow is an Open Source Machine Learning Framework. TensorFlow is vulnerable to a heap OOB write in `Grappler`. The `set_output` function writes to an array at the specified index. Hence, this gives a malicious user a write primitive. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Key phrases: heap oob write
CVE-2022-23567: Tensorflow is an Open Source Machine Learning Framework. The implementations of `Sparse*Cwise*` ops are vulnerable to integer overflows. These can be used to trigger large allocations (so, OOM based denial of service) or `CHECK`-fails when building new `TensorShape` objects (so, assert failures based denial of service). We are missing some validation on the shapes of the input tensors as well as directly constructing a large `TensorShape` with user-provided dimensions. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Key phrases: integer overflows, assert failures based denial of service
CVE-2022-23568: Tensorflow is an Open Source Machine Learning Framework. The implementation of `AddManySparseToTensorsMap` is vulnerable to an integer overflow which results in a `CHECK`-fail when building new `TensorShape` objects (so, an assert failure based denial of service). We are missing some validation on the shapes of the input tensors as well as directly constructing a large `TensorShape` with user-provided dimensions. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Key phrases: integer overflow, denial of service
CVE-2022-23569: Tensorflow is an Open Source Machine Learning Framework. Multiple operations in TensorFlow can be used to trigger a denial of service via `CHECK`-fails (i.e., assertion failures). This is similar to TFSA-2021-198 and has similar fixes. We have patched the reported issues in multiple GitHub commits. It is possible that other similar instances exist in TensorFlow, we will issue fixes as these are discovered. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Key phrases: denial of service
CVE-2022-2357: The WSM Downloader WordPress plugin through 1.4.0 allows any visitor to use its remote file download feature to download any local files, including sensitive ones like wp-config.php.
Key phrases: use its remote file download feature to download, sensitive ones, local file include
CVE-2022-23570: Tensorflow is an Open Source Machine Learning Framework. When decoding a tensor from protobuf, TensorFlow might do a null-dereference if attributes of some mutable arguments to some operations are missing from the proto. This is guarded by a `DCHECK`. However, `DCHECK` is a no-op in production builds and an assertion failure in debug builds. In the first case execution proceeds to the dereferencing of the null pointer, whereas in the second case it results in a crash due to the assertion failure. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range.
Key phrases: null-dereference, null pointer, crash
CVE-2022-23571: Tensorflow is an Open Source Machine Learning Framework. When decoding a tensor from protobuf, a TensorFlow process can encounter cases where a `CHECK` assertion is invalidated based on user controlled arguments, if the tensors have an invalid `dtype` and 0 elements or an invalid shape. This allows attackers to cause denial of services in TensorFlow processes. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Key phrases: cause denial of services in TensorFlow processes
CVE-2022-23572: Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, TensorFlow can fail to specialize a type during shape inference. This case is covered by the `DCHECK` function however, `DCHECK` is a no-op in production builds and an assertion failure in debug builds. In the first case execution proceeds to the `ValueOrDie` line. This results in an assertion failure as `ret` contains an error `Status`, not a value. In the second case we also get a crash due to the assertion failure. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range.
Key phrases: crash
CVE-2022-23573: Tensorflow is an Open Source Machine Learning Framework. The implementation of `AssignOp` can result in copying uninitialized data to a new tensor. This later results in undefined behavior. The implementation has a check that the left hand side of the assignment is initialized (to minimize number of allocations), but does not check that the right hand side is also initialized. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Key phrases: uninitialized data, undefined behavior
CVE-2022-23574: Tensorflow is an Open Source Machine Learning Framework. There is a typo in TensorFlow's `SpecializeType` which results in heap OOB read/write. Due to a typo, `arg` is initialized to the `i`th mutable argument in a loop where the loop index is `j`. Hence it is possible to assign to `arg` from outside the vector of arguments. Since this is a mutable proto value, it allows both read and write to outside of bounds data. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range.
Key phrases: outside of bounds data, heap oob read write
CVE-2022-23575: Tensorflow is an Open Source Machine Learning Framework. The implementation of `OpLevelCostEstimator::CalculateTensorSize` is vulnerable to an integer overflow if an attacker can create an operation which would involve a tensor with large enough number of elements. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Key phrases: integer overflow
CVE-2022-23576: Tensorflow is an Open Source Machine Learning Framework. The implementation of `OpLevelCostEstimator::CalculateOutputSize` is vulnerable to an integer overflow if an attacker can create an operation which would involve tensors with large enough number of elements. We can have a large enough number of dimensions in `output_shape.dim()` or just a small number of dimensions being large enough to cause an overflow in the multiplication. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Key phrases: integer overflow
CVE-2022-23577: Tensorflow is an Open Source Machine Learning Framework. The implementation of `GetInitOp` is vulnerable to a crash caused by dereferencing a null pointer. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Key phrases: dereferencing a null pointer, crash
CVE-2022-23578: Tensorflow is an Open Source Machine Learning Framework. If a graph node is invalid, TensorFlow can leak memory in the implementation of `ImmutableExecutorState::Initialize`. Here, we set `item->kernel` to `nullptr` but it is a simple `OpKernel*` pointer so the memory that was previously allocated to it would leak. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Key phrases: leak memory
CVE-2022-23579: Tensorflow is an Open Source Machine Learning Framework. The Grappler optimizer in TensorFlow can be used to cause a denial of service by altering a `SavedModel` such that `SafeToRemoveIdentity` would trigger `CHECK` failures. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Key phrases: denial of service, safetoremoveidentity
CVE-2022-23580: Tensorflow is an Open Source Machine Learning Framework. During shape inference, TensorFlow can allocate a large vector based on a value from a tensor controlled by the user. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
CVE-2022-23581: Tensorflow is an Open Source Machine Learning Framework. The Grappler optimizer in TensorFlow can be used to cause a denial of service by altering a `SavedModel` such that `IsSimplifiableReshape` would trigger `CHECK` failures. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Key phrases: denial of service
CVE-2022-23582: Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a `SavedModel` such that `TensorByteSize` would trigger `CHECK` failures. `TensorShape` constructor throws a `CHECK`-fail if shape is partial or has a number of elements that would overflow the size of an `int`. The `PartialTensorShape` constructor instead does not cause a `CHECK`-abort if the shape is partial, which is exactly what this function needs to be able to return `-1`. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Key phrases: denial of service
CVE-2022-23583: Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a `SavedModel` such that any binary op would trigger `CHECK` failures. This occurs when the protobuf part corresponding to the tensor arguments is modified such that the `dtype` no longer matches the `dtype` expected by the op. In that case, calling the templated binary operator for the binary op would receive corrupted data, due to the type confusion involved. If `Tin` and `Tout` don't match the type of data in `out` and `input_*` tensors then `flat<*>` would interpret it wrongly. In most cases, this would be a silent failure, but we have noticed scenarios where this results in a `CHECK` crash, hence a denial of service. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Key phrases: denial of service, type confusion, crash
CVE-2022-23584: Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a use after free behavior when decoding PNG images. After `png::CommonFreeDecode(&decode)` gets called, the values of `decode.width` and `decode.height` are in an unspecified state. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Key phrases: use after free behavior, unspecified
CVE-2022-23585: Tensorflow is an Open Source Machine Learning Framework. When decoding PNG images TensorFlow can produce a memory leak if the image is invalid. After calling `png::CommonInitDecode(..., &decode)`, the `decode` value contains allocated buffers which can only be freed by calling `png::CommonFreeDecode(&decode)`. However, several error case in the function implementation invoke the `OP_REQUIRES` macro which immediately terminates the execution of the function, without allowing for the memory free to occur. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Key phrases: occur, memory leak
CVE-2022-23586: Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a `SavedModel` such that assertions in `function.cc` would be falsified and crash the Python interpreter. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Key phrases: denial of service, crash
CVE-2022-23587: Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow is vulnerable to an integer overflow during cost estimation for crop and resize. Since the cropping parameters are user controlled, a malicious person can trigger undefined behavior. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Key phrases: integer overflow, undefined behavior
CVE-2022-23588: Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a `SavedModel` such that Grappler optimizer would attempt to build a tensor using a reference `dtype`. This would result in a crash due to a `CHECK`-fail in the `Tensor` constructor as reference types are not allowed. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Key phrases: denial of service, crash
CVE-2022-23589: Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow can trigger a null pointer dereference. There are 2 places where this can occur, for the same malicious alteration of a `SavedModel` file (fixing the first one would trigger the same dereference in the second place). First, during constant folding, the `GraphDef` might not have the required nodes for the binary operation. If a node is missing, the correposning `mul_*child` would be null, and the dereference in the subsequent line would be incorrect. We have a similar issue during `IsIdentityConsumingSwitch`. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Key phrases: null pointer dereference
CVE-2022-23590: Tensorflow is an Open Source Machine Learning Framework. A `GraphDef` from a TensorFlow `SavedModel` can be maliciously altered to cause a TensorFlow process to crash due to encountering a `StatusOr` value that is an error and forcibly extracting the value from it. We have patched the issue in multiple GitHub commits and these will be included in TensorFlow 2.8.0 and TensorFlow 2.7.1, as both are affected.
Key phrases: crash
CVE-2022-23591: Tensorflow is an Open Source Machine Learning Framework. The `GraphDef` format in TensorFlow does not allow self recursive functions. The runtime assumes that this invariant is satisfied. However, a `GraphDef` containing a fragment such as the following can be consumed when loading a `SavedModel`. This would result in a stack overflow during execution as resolving each `NodeDef` means resolving the function itself and its nodes. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Key phrases: self recursive functions, stack overflow
CVE-2022-23592: Tensorflow is an Open Source Machine Learning Framework. TensorFlow's type inference can cause a heap out of bounds read as the bounds checking is done in a `DCHECK` (which is a no-op during production). An attacker can control the `input_idx` variable such that `ix` would be larger than the number of values in `node_t.args`. The fix will be included in TensorFlow 2.8.0. This is the only affected version.
Key phrases: heap out of bounds read
CVE-2022-23593: Tensorflow is an Open Source Machine Learning Framework. The `simplifyBroadcast` function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault (hence, denial of service), if called with scalar shapes. If all shapes are scalar, then `maxRank` is 0, so we build an empty `SmallVector`. The fix will be included in TensorFlow 2.8.0. This is the only affected version.
Key phrases: segfault, denial of service
CVE-2022-23594: Tensorflow is an Open Source Machine Learning Framework. The TFG dialect of TensorFlow (MLIR) makes several assumptions about the incoming `GraphDef` before converting it to the MLIR-based dialect. If an attacker changes the `SavedModel` format on disk to invalidate these assumptions and the `GraphDef` is then converted to MLIR-based IR then they can cause a crash in the Python interpreter. Under certain scenarios, heap OOB read/writes are possible. These issues have been discovered via fuzzing and it is possible that more weaknesses exist. We will patch them as they are discovered.
Key phrases: crash, fuzzing, weaknesses
CVE-2022-23595: Tensorflow is an Open Source Machine Learning Framework. When building an XLA compilation cache, if default settings are used, TensorFlow triggers a null pointer dereference. In the default scenario, all devices are allowed, so `flr->config_proto` is `nullptr`. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Key phrases: null pointer dereference
CVE-2022-23596: Junrar is an open source java RAR archive library. In affected versions A carefully crafted RAR archive can trigger an infinite loop while extracting said archive. The impact depends solely on how the application uses the library, and whether files can be provided by malignant users. The problem is patched in 7.4.1. There are no known workarounds and users are advised to upgrade as soon as possible.
Key phrases: infinite loop
CVE-2022-23597: Element Desktop is a Matrix client for desktop platforms with Element Web at its core. Element Desktop before 1.9.7 is vulnerable to a remote program execution bug with user interaction. The exploit is non-trivial and requires clicking on a malicious link, followed by another button click. To the best of our knowledge, the vulnerability has never been exploited in the wild. If you are using Element Desktop < 1.9.7, we recommend upgrading at your earliest convenience. If successfully exploited, the vulnerability allows an attacker to specify a file path of a binary on the victim's computer which then gets executed. Notably, the attacker does *not* have the ability to specify program arguments. However, in certain unspecified configurations, the attacker may be able to specify an URI instead of a file path which then gets handled using standard platform mechanisms. These may allow exploiting further vulnerabilities in those mechanisms, potentially leading to arbitrary code execution.
Key phrases: specify a file path of a binary on, arbitrary code execution, remote program execution bug with user interaction, unspecified
CVE-2022-23598: laminas-form is a package for validating and displaying simple and complex forms. When rendering validation error messages via the `formElementErrors()` view helper shipped with laminas-form, many messages will contain the submitted value. However, in laminas-form prior to version 3.1.1, the value was not being escaped for HTML contexts, which could potentially lead to a reflected cross-site scripting attack. Versions 3.1.1 and above contain a patch to mitigate the vulnerability. A workaround is available. One may manually place code at the top of a view script where one calls the `formElementErrors()` view helper. More information about this workaround is available on the GitHub Security Advisory.
Key phrases: cross-site scripting
CVE-2022-23599: Products.ATContentTypes are the core content types for Plone 2.1 - 4.3. Versions of Plone that are dependent on Products.ATContentTypes prior to version 3.0.6 are vulnerable to reflected cross site scripting and open redirect when an attacker can get a compromised version of the image_view_fullscreen page in a cache, for example in Varnish. The technique is known as cache poisoning. Any later visitor can get redirected when clicking on a link on this page. Usually only anonymous users are affected, but this depends on the user's cache settings. Version 3.0.6 of Products.ATContentTypes has been released with a fix. This version works on Plone 5.2, Python 2 only. As a workaround, make sure the image_view_fullscreen page is not stored in the cache. More information about the vulnerability and cvmitigation measures is available in the GitHub Security Advisory.
Key phrases: reflected cross site scripting, open redirect, cache poisoning, cross-site scripting
CVE-2022-23600: fleet is an open source device management, built on osquery. Versions prior to 4.9.1 expose a limited ability to spoof SAML authentication with missing audience verification. This impacts deployments using SAML SSO in two specific cases: 1. A malicious or compromised Service Provider (SP) could reuse the SAML response to log into Fleet as a user -- only if the user has an account with the same email in Fleet, _and_ the user signs into the malicious SP via SAML SSO from the same Identity Provider (IdP) configured with Fleet. 2. A user with an account in Fleet could reuse a SAML response intended for another SP to log into Fleet. This is only a concern if the user is blocked from Fleet in the IdP, but continues to have an account in Fleet. If the user is blocked from the IdP entirely, this cannot be exploited. Fleet 4.9.1 resolves this issue. Users unable to upgrade should: Reduce the length of sessions on your IdP to reduce the window for malicious re-use, Limit the amount of SAML Service Providers/Applications used by user accounts with access to Fleet, and When removing access to Fleet in the IdP, delete the Fleet user from Fleet as well.
Key phrases: missing audience verification, deployments, spoofing
CVE-2022-23601: Symfony is a PHP framework for web and console applications and a set of reusable PHP components. The Symfony form component provides a CSRF protection mechanism by using a random token injected in the form and using the session to store and control the token submitted by the user. When using the FrameworkBundle, this protection can be enabled or disabled with the configuration. If the configuration is not specified, by default, the mechanism is enabled as long as the session is enabled. In a recent change in the way the configuration is loaded, the default behavior has been dropped and, as a result, the CSRF protection is not enabled in form when not explicitly enabled, which makes the application sensible to CSRF attacks. This issue has been resolved in the patch versions listed and users are advised to update. There are no known workarounds for this issue.
Key phrases: csrf
CVE-2022-23602: Nimforum is a lightweight alternative to Discourse written in Nim. In versions prior to 2.2.0 any forum user can create a new thread/post with an include referencing a file local to the host operating system. Nimforum will render the file if able. This can also be done silently by using NimForum's post "preview" endpoint. Even if NimForum is running as a non-critical user, the forum.json secrets can be stolen. Version 2.2.0 of NimForum includes patches for this vulnerability. Users are advised to upgrade as soon as is possible. There are no known workarounds for this issue.
Key phrases: forum.json secrets
CVE-2022-23603: iTunesRPC-Remastered is a discord rich presence application for use with iTunes & Apple Music. In code before commit 24f43aa user input is not properly sanitized and code injection is possible. Users are advised to upgrade as soon as is possible. There are no known workarounds for this issue.
Key phrases: code injection
CVE-2022-23604: x26-Cogs is a repository of cogs made by Twentysix for the Red Discord bot. Among these cogs is the Defender cog, a tool for Discord server moderation. A vulnerability in the Defender cog prior to version 1.10.0 allows users with admin privileges to issue commands as other users who share the same server. If a bot owner shares the same server as the attacker, it is possible for the attacker to issue bot-owner restricted commands. The issue has been patched in version 1.10.0. One may unload the Defender cog as a workaround.
Key phrases: issue commands as other users who share the
CVE-2022-23605: Wire webapp is a web client for the wire messaging protocol. In versions prior to 2022-01-27-production.0 expired ephemeral messages were not reliably removed from local chat history of Wire Webapp. In versions before 2022-01-27-production.0 ephemeral messages and assets might still be accessible through the local search functionality. Any attempt to view one of these message in the chat view will then trigger the deletion. This issue only affects locally stored messages. On premise instances of wire-webapp need to be updated to 2022-01-27-production.0, so that their users are no longer affected. There are no known workarounds for this issue.
CVE-2022-23606: Envoy is an open source edge and service proxy, designed for cloud-native applications. When a cluster is deleted via Cluster Discovery Service (CDS) all idle connections established to endpoints in that cluster are disconnected. A recursion was introduced in the procedure of disconnecting idle connections that can lead to stack exhaustion and abnormal process termination when a cluster has a large number of idle connections. This infinite recursion causes Envoy to crash. Users are advised to upgrade.
Key phrases: stack exhaustion, crash
CVE-2022-23607: treq is an HTTP library inspired by requests but written on top of Twisted's Agents. Treq's request methods (`treq.get`, `treq.post`, etc.) and `treq.client.HTTPClient` constructor accept cookies as a dictionary. Such cookies are not bound to a single domain, and are therefore sent to *every* domain ("supercookies"). This can potentially cause sensitive information to leak upon an HTTP redirect to a different domain., e.g. should `https://example.com` redirect to `http://cloudstorageprovider.com` the latter will receive the cookie `session`. Treq 2021.1.0 and later bind cookies given to request methods (`treq.request`, `treq.get`, `HTTPClient.request`, `HTTPClient.get`, etc.) to the origin of the *url* parameter. Users are advised to upgrade. For users unable to upgrade Instead of passing a dictionary as the *cookies* argument, pass a `http.cookiejar.CookieJar` instance with properly domain- and scheme-scoped cookies in it.
Key phrases: sensitive information, information leak
CVE-2022-23608: PJSIP is a free and open source multimedia communication library written in C language implementing standard based protocols such as SIP, SDP, RTP, STUN, TURN, and ICE. In versions up to and including 2.11.1 when in a dialog set (or forking) scenario, a hash key shared by multiple UAC dialogs can potentially be prematurely freed when one of the dialogs is destroyed . The issue may cause a dialog set to be registered in the hash table multiple times (with different hash keys) leading to undefined behavior such as dialog list collision which eventually leading to endless loop. A patch is available in commit db3235953baa56d2fb0e276ca510fefca751643f which will be included in the next release. There are no known workarounds for this issue.
Key phrases: dialog list collision, undefined behavior
CVE-2022-23609: iTunesRPC-Remastered is a Discord Rich Presence for iTunes on Windows utility. In affected versions iTunesRPC-Remastered did not properly sanitize user input used to remove files leading to file deletion only limited by the process permissions. Users are advised to upgrade as soon as possible.
Key phrases: file deletion
CVE-2022-2361: The WP Social Chat WordPress plugin before 6.0.5 does not sanitise and escape some of its settings, which could allow high privilege users such as admin to perform Stored Cross-Site Scripting attacks.
Key phrases: perform Stored Cross-Site Scripting attacks, stored cross-site scripting
CVE-2022-23610: wire-server provides back end services for Wire, an open source messenger. In versions of wire-server prior to the 2022-01-27 release, it was possible to craft DSA Signatures to bypass SAML SSO and impersonate any Wire user with SAML credentials. In teams with SAML, but without SCIM, it was possible to create new accounts with fake SAML credentials. Under certain conditions that can be established by an attacker, an upstream library for parsing, rendering, signing, and validating SAML XML data was accepting public keys as trusted that were provided by the attacker in the signature. As a consequence, the attacker could login as any user in any Wire team with SAML SSO enabled. If SCIM was not enabled, the attacker could also create new users with new SAML NameIDs. In order to exploit this vulnerability, the attacker needs to know the SSO login code (distributed to all team members with SAML credentials and visible in the Team Management app), the SAML EntityID identifying the IdP (a URL not considered sensitive, but usually hard to guess, also visible in Team Management), and the SAML NameID of the user (usually an email address or a nick). The issue has been fixed in wire-server `2022-01-27` and is already deployed on all Wire managed services. On premise instances of wire-server need to be updated to `2022-01-27`, so that their backends are no longer affected. There are currently no known workarounds. More detailed information about how to reproduce the vulnerability and mitigation strategies is available in the GitHub Security Advisory.
Key phrases: bypass SAML SSO and impersonate any Wire user, dsa signatures
CVE-2022-23611: iTunesRPC-Remastered is a Discord Rich Presence for iTunes on Windows utility. In affected versions iTunesRPC-Remastered did not properly sanitize image file paths leading to OS level command injection. This issue has been patched in commit cdcd48b. Users are advised to upgrade.
Key phrases: os level command injection
CVE-2022-23612: OpenMRS is a patient-based medical record system focusing on giving providers a free customizable electronic medical record system. Affected versions are subject to arbitrary file exfiltration due to failure to sanitize request when satisfying GET requests for `/images` & `/initfilter/scripts`. This can allow an attacker to access any file on a system running OpenMRS that is accessible to the user id OpenMRS is running under. Affected implementations should update to the latest patch version of OpenMRS Core for the minor version they use. These are: 2.1.5, 2.2.1, 2.3.5, 2.4.5 and 2.5.3. As a general rule, this vulnerability is already mitigated by Tomcat's URL normalization in Tomcat 7.0.28+. Users on older versions of Tomcat should consider upgrading their Tomcat instance as well as their OpenMRS instance.
Key phrases: access any file on a system running OpenMRS, file exfiltration, arbitrary file
CVE-2022-23613: xrdp is an open source remote desktop protocol (RDP) server. In affected versions an integer underflow leading to a heap overflow in the sesman server allows any unauthenticated attacker which is able to locally access a sesman server to execute code as root. This vulnerability has been patched in version 0.9.18.1 and above. Users are advised to upgrade. There are no known workarounds.
Key phrases: locally access a sesman server to execute code, integer underflow, heap overflow
CVE-2022-23614: Twig is an open source template language for PHP. When in a sandbox mode, the `arrow` parameter of the `sort` filter must be a closure to avoid attackers being able to run arbitrary PHP functions. In affected versions this constraint was not properly enforced and could lead to code injection of arbitrary PHP code. Patched versions now disallow calling non Closure in the `sort` filter as is the case for some other filters. Users are advised to upgrade.
Key phrases: run arbitrary PHP functions, code injection, arbitrary php
CVE-2022-23615: XWiki Platform is a generic wiki platform offering runtime services for applications built on top of it. In affected versions any user with SCRIPT right can save a document with the right of the current user which allow accessing API requiring programming right if the current user has programming right. This has been patched in XWiki 13.0. Users are advised to update to resolve this issue. The only known workaround is to limit SCRIPT access.
Key phrases: update to resolve this issue
CVE-2022-23616: XWiki Platform is a generic wiki platform offering runtime services for applications built on top of it. In affected versions it's possible for an unprivileged user to perform a remote code execution by injecting a groovy script in her own profile and by calling the Reset password feature since the feature is performing a save of the user profile with programming rights in the impacted versions of XWiki. The issue has been patched in XWiki 13.1RC1. There are two different possible workarounds, each consisting of modifying the XWiki/ResetPassword page. 1. The Reset password feature can be entirely disabled by deleting the XWiki/ResetPassword page. 2. The script in XWiki/ResetPassword can also be modified or removed: an administrator can replace it with a simple email contact to ask an administrator to reset the password.
Key phrases: remote code execution, impacted versions
CVE-2022-23617: XWiki Platform is a generic wiki platform offering runtime services for applications built on top of it. In affected versions any user with edit right can copy the content of a page it does not have access to by using it as template of a new page. This issue has been patched in XWiki 13.2CR1 and 12.10.6. Users are advised to update. There are no known workarounds for this issue.
CVE-2022-23618: XWiki Platform is a generic wiki platform offering runtime services for applications built on top of it. In affected versions there is no protection against URL redirection to untrusted sites, in particular some well known parameters (xredirect) can be used to perform url redirections. This problem has been patched in XWiki 12.10.7 and XWiki 13.3RC1. Users are advised to update. There are no known workarounds for this issue.
Key phrases: url redirection
CVE-2022-23619: XWiki Platform is a generic wiki platform offering runtime services for applications built on top of it. In affected versions it's possible to guess if a user has an account on the wiki by using the "Forgot your password" form, even if the wiki is closed to guest users. This problem has been patched on XWiki 12.10.9, 13.4.1 and 13.6RC1. Users are advised yo update. There are no known workarounds for this issue.