Writeup Exploits
63,674 exploits tracked across all sources.
io_uring Same Type Object Reuse Priv Esc
A flaw was found in the Linux kernel’s io_uring implementation. This flaw allows an attacker with a local account to corrupt system memory, crash the system or escalate privileges.
CVSS 8.8
htmly 5.3 - Authenticated Stored Cross-Site Scripting in Edit Profile Module
A vulnerability, which was classified as problematic, has been found in htmly 5.3 whis affects the component Edit Profile Module. The manipulation of the field Title with script tags leads to persistent cross site scripting. The attack may be initiated remotely and requires an authentication. A simple POC has been disclosed to the public and may be used.
CVSS 3.5
minewebcms < 1.15.2 - Stored Cross-Site Scripting
Cross-site Scripting (XSS) - Stored in GitHub repository mineweb/minewebcms prior to next.
CVSS 4.8
Linux Kernel < 5.17.14 - Null Pointer Dereference and Use-After-Free via Amateur Radio Simulation
A flaw was found in the Linux kernel. This flaw allows an attacker to crash the Linux kernel by simulating amateur radio from the user space, resulting in a null-ptr-deref vulnerability and a use-after-free vulnerability.
CVSS 7.5
Linux Kernel < 5.17 - NULL Pointer Dereference in AX.25 Protocol
A NULL pointer dereference flaw was found in the Linux kernel’s Amateur Radio AX.25 protocol functionality in the way a user connects with the protocol. This flaw allows a local user to crash the system.
CVSS 4.7
Undertow - Info Disclosure
A flaw was found in Undertow. For an AJP 400 response, EAP 7 is improperly sending two response packets, and those packets have the reuse flag set even though JBoss EAP closes the connection. A failure occurs when the connection is reused after a 400 by CPING since it reads in the second SEND_HEADERS response packet instead of a CPONG.
CVSS 7.5
MetForm < 2.1.3 - Unauthenticated Sensitive Information Disclosure in action.php
The Metform WordPress plugin is vulnerable to sensitive information disclosure due to improper access control in the ~/core/forms/action.php file which can be exploited by an unauthenticated attacker to view all API keys and secrets of integrated third-party APIs like that of PayPal, Stripe, Mailchimp, Hubspot, HelpScout, reCAPTCHA and many more, in versions up to and including 2.1.3.
CVSS 7.5
PyTorch Model Server Registration and Deserialization RCE
SnakeYaml's Constructor() class does not restrict types which can be instantiated during deserialization. Deserializing yaml content provided by an attacker can lead to remote code execution. We recommend using SnakeYaml's SafeConsturctor when parsing untrusted content to restrict deserialization. We recommend upgrading to version 2.0 and beyond.
CVSS 8.3
PCRE2 < 10.40 - Out-of-bounds Read in JIT Unicode Property Matching
An out-of-bounds read vulnerability was discovered in the PCRE2 library in the compile_xclass_matchingpath() function of the pcre2_jit_compile.c file. This involves a unicode property matching issue in JIT-compiled regular expressions. The issue occurs because the character was not fully read in case-less matching within JIT.
CVSS 9.1
convict < 6.2.3 - Prototype Pollution via Bypass of CVE-2022-22143 Fix
This affects the package convict before 6.2.3. This is a bypass of [CVE-2022-22143](https://security.snyk.io/vuln/SNYK-JS-CONVICT-2340604). The [fix](https://github.com/mozilla/node-convict/commit/3b86be087d8f14681a9c889d45da7fe3ad9cd880) introduced, relies on the startsWith method and does not prevent the vulnerability: before splitting the path, it checks if it starts with __proto__ or this.constructor.prototype. To bypass this check it's possible to prepend the dangerous paths with any string value followed by a dot, like for example foo.__proto__ or foo.this.constructor.prototype.
CVSS 7.5
Engine.IO 4.0.0-4.1.1, 5.0.0-5.2.0, 6.0.0-6.1.0 - Denial of Service via Crafted HTTP Request
Engine.IO is the implementation of transport-based cross-browser/cross-device bi-directional communication layer for Socket.IO. A specially crafted HTTP request can trigger an uncaught exception on the Engine.IO server, thus killing the Node.js process. This impacts all the users of the `engine.io` package starting from version `4.0.0`, including those who uses depending packages like `socket.io`. Versions prior to `4.0.0` are not impacted. A fix has been released for each major branch, namely `4.1.2` for the `4.x.x` branch, `5.2.1` for the `5.x.x` branch, and `6.1.1` for the `6.x.x` branch. There is no known workaround except upgrading to a safe version.
CVSS 7.5
TensorFlow < 2.5.3 - Out-of-bounds Read in ReverseSequence Shape Inference
Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `ReverseSequence` does not fully validate the value of `batch_dim` and can result in a heap OOB read. There is a check to make sure the value of `batch_dim` does not go over the rank of the input, but there is no check for negative values. Negative dimensions are allowed in some cases to mimic Python's negative indexing (i.e., indexing from the end of the array), however if the value is too negative then the implementation of `Dim` would access elements before the start of an array. 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.
CVSS 8.1
TensorFlow < 2.5.3 - Denial of Service via ConcatV2 Shape Inference Type Confusion
Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `ConcatV2` can be used to trigger a denial of service attack via a segfault caused by a type confusion. The `axis` argument is translated into `concat_dim` in the `ConcatShapeHelper` helper function. Then, a value for `min_rank` is computed based on `concat_dim`. This is then used to validate that the `values` tensor has at least the required rank. However, `WithRankAtLeast` receives the lower bound as a 64-bits value and then compares it against the maximum 32-bits integer value that could be represented. Due to the fact that `min_rank` is a 32-bits value and the value of `axis`, the `rank` argument is a negative value, so the error check is bypassed. 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.
CVSS 6.5
TensorFlow < 2.5.3 - Heap Overflow in SparseCountSparseOutput
Tensorflow is an Open Source Machine Learning Framework. The implementation of `SparseCountSparseOutput` is vulnerable to a heap overflow. 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.
CVSS 7.6
Linux Kernel < 5.18 - Denial of Service via KVM SynIC IRQ NULL Pointer Dereference
A flaw was found in the Linux kernel’s KVM when attempting to set a SynIC IRQ. This issue makes it possible for a misbehaving VMM to write to SYNIC/STIMER MSRs, causing a NULL pointer dereference. This flaw allows an unprivileged local attacker on the host to issue specific ioctl calls, causing a kernel oops condition that results in a denial of service.
CVSS 5.5
sylabs scs-library-client >=1.4.0 <1.4.2 - Credential Leak via S3 Redirect
github.com/sylabs/scs-library-client is the Go client for the Singularity Container Services (SCS) Container Library Service. When the scs-library-client is used to pull a container image, with authentication, the HTTP Authorization header sent by the client to the library service may be incorrectly leaked to an S3 backing storage provider. This occurs in a specific flow, where the library service redirects the client to a backing S3 storage server, to perform a multi-part concurrent download. Depending on site configuration, the S3 service may be provided by a third party. An attacker with access to the S3 service may be able to extract user credentials, allowing them to impersonate the user. The vulnerable multi-part concurrent download flow, with redirect to S3, is only used when communicating with a Singularity Enterprise 1.x installation, or third party server implementing this flow. Interaction with Singularity Enterprise 2.x, and Singularity Container Services (cloud.sylabs.io), does not trigger the vulnerable flow. We encourage all users to update. Users who interact with a Singularity Enterprise 1.x installation, using a 3rd party S3 storage service, are advised to revoke and recreate their authentication tokens within Singularity Enterprise. There is no workaround available at this time.
CVSS 5.2
Grafana 8.1-8.5.16 - Stored Cross-Site Scripting in GeoMap Plugin via SVG File
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.
CVSS 7.3
TensorFlow < 2.5.3 - Integer Overflow in TfLiteIntArrayGetSizeInBytes
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.
CVSS 7.6
TensorFlow < 2.5.3 - Integer Overflow in Embedding Lookup Sparse
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.
CVSS 8.8
TensorFlow < 2.5.3 - Heap Out-of-Bounds Write in Grappler set_output
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.
CVSS 8.8
TensorFlow < 2.5.3 - Denial of Service via Integer Overflow in Sparse*Cwise* Ops
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.
CVSS 6.5
TensorFlow < 2.5.3 - Denial of Service via Integer Overflow in AddManySparseToTensorsMap
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.
CVSS 6.5
TensorFlow < 2.5.3 - Denial of Service via Grappler Optimizer SavedModel Manipulation
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.
CVSS 6.5
TensorFlow < 2.5.3 - Denial of Service via SavedModel Assertion Falsification
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.
CVSS 6.5
TensorFlow < 2.5.3 - Denial of Service via SavedModel Grappler Optimizer
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.
CVSS 6.5
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