Writeup Exploits
63,674 exploits tracked across all sources.
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
node-opcua < 2.74.0 - Denial of Service via Unlimited Chunk Reception
The package node-opcua before 2.74.0 are vulnerable to Denial of Service (DoS) due to a missing limitation on the number of received chunks - per single session or in total for all concurrent sessions. An attacker can exploit this vulnerability by sending an unlimited number of huge chunks (e.g. 2GB each) without sending the Final closing chunk.
CVSS 7.5
mout < 1.2.4 - Prototype Pollution via deepFillIn and deepMixIn Functions
This affects all versions of package mout. The deepFillIn function can be used to 'fill missing properties recursively', while the deepMixIn mixes objects into the target object, recursively mixing existing child objects as well. In both cases, the key used to access the target object recursively is not checked, leading to exploiting this vulnerability. **Note:** This vulnerability derives from an incomplete fix of [CVE-2020-7792](https://security.snyk.io/vuln/SNYK-JS-MOUT-1014544).
CVSS 7.5
fasthttp < 1.34.0 - Directory Traversal via Backslash Character in ServeFile Path
The package github.com/valyala/fasthttp before 1.34.0 are vulnerable to Directory Traversal via the ServeFile function, due to improper sanitization. It is possible to be exploited by using a backslash %5c character in the path. **Note:** This security issue impacts Windows users only.
CVSS 5.9
org.nanohttpd:nanohttpd - Info Disclosure
This affects all versions of package org.nanohttpd:nanohttpd. Whenever an HTTP Session is parsing the body of an HTTP request, the body of the request is written to a RandomAccessFile when the it is larger than 1024 bytes. This file is created with insecure permissions that allow its contents to be viewed by all users on the host machine. **Workaround:** Manually specifying the -Djava.io.tmpdir= argument when launching Java to set the temporary directory to a directory exclusively controlled by the current user can fix this issue.
CVSS 5.5
WordPress 3.7-3.7.36 - SQL Injection via WP_Query
WordPress is a free and open-source content management system written in PHP and paired with a MariaDB database. Due to improper sanitization in WP_Query, there can be cases where SQL injection is possible through plugins or themes that use it in a certain way. This has been patched in WordPress version 5.8.3. Older affected versions are also fixed via security release, that go back till 3.7.37. We strongly recommend that you keep auto-updates enabled. There are no known workarounds for this vulnerability.
CVSS 8.0
pipenv 2018.10.9-2022.1.8 - Remote Code Execution via Malicious Requirements File Comment
pipenv is a Python development workflow tool. Starting with version 2018.10.9 and prior to version 2022.1.8, a flaw in pipenv's parsing of requirements files allows an attacker to insert a specially crafted string inside a comment anywhere within a requirements.txt file, which will cause victims who use pipenv to install the requirements file to download dependencies from a package index server controlled by the attacker. By embedding malicious code in packages served from their malicious index server, the attacker can trigger arbitrary remote code execution (RCE) on the victims' systems. If an attacker is able to hide a malicious `--index-url` option in a requirements file that a victim installs with pipenv, the attacker can embed arbitrary malicious code in packages served from their malicious index server that will be executed on the victim's host during installation (remote code execution/RCE). When pip installs from a source distribution, any code in the setup.py is executed by the install process. This issue is patched in version 2022.1.8. The GitHub Security Advisory contains more information about this vulnerability.
CVSS 8.0
Bytecode Viewer 2.10.16-2.11.0 - Arbitrary File Write via Archive Extraction
Bytecode Viewer (BCV) is a Java/Android reverse engineering suite. Versions of the package prior to 2.11.0 are vulnerable to Arbitrary File Write via Archive Extraction (AKA "Zip Slip"). The vulnerability is exploited using a specially crafted archive that holds directory traversal filenames (e.g. ../../evil.exe). The Zip Slip vulnerability can affect numerous archive formats, including zip, jar, tar, war, cpio, apk, rar and 7z. The attacker can then overwrite executable files and either invoke them remotely or wait for the system or user to call them, thus achieving remote command execution on the victim’s machine. The impact of a Zip Slip vulnerability would allow an attacker to create or overwrite existing files on the filesystem. In the context of a web application, a web shell could be placed within the application directory to achieve code execution. All users should upgrade to BCV v2.11.0 when possible to receive a patch. There are no recommended workarounds aside from upgrading.
CVSS 9.9
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
Discourse < 2.7.13 - Unauthorized Exposure of Private User Bios in Meta Tags
Discourse is an open source discussion platform. Prior to version 2.8.0.beta11 in the `tests-passed` branch, version 2.8.0.beta11 in the `beta` branch, and version 2.7.13 in the `stable` branch, the bios of users who made their profiles private were still visible in the `<meta>` tags on their users' pages. The problem is patched in `tests-passed` version 2.8.0.beta11, `beta` version 2.8.0.beta11, and `stable` version 2.7.13 of Discourse.
CVSS 4.3
Flatpak < 1.12.3 and < 1.10.6 - Path Traversal via --mirror-screenshots-url
Flatpak is a Linux application sandboxing and distribution framework. A path traversal vulnerability affects versions of Flatpak prior to 1.12.3 and 1.10.6. flatpak-builder applies `finish-args` last in the build. At this point the build directory will have the full access that is specified in the manifest, so running `flatpak build` against it will gain those permissions. Normally this will not be done, so this is not problem. However, if `--mirror-screenshots-url` is specified, then flatpak-builder will launch `flatpak build --nofilesystem=host appstream-utils mirror-screenshots` after finalization, which can lead to issues even with the `--nofilesystem=host` protection. In normal use, the only issue is that these empty directories can be created wherever the user has write permissions. However, a malicious application could replace the `appstream-util` binary and potentially do something more hostile. This has been resolved in Flatpak 1.12.3 and 1.10.6 by changing the behaviour of `--nofilesystem=home` and `--nofilesystem=host`.
CVSS 7.7
ShortDescription < 2.3.4 - Cross-Site Scripting via SHORTDESC Wikitext
ShortDescription is a MediaWiki extension that provides local short description support. A cross-site scripting (XSS) vulnerability exists in versions prior to 2.3.4. On a wiki that has the ShortDescription enabled, XSS can be triggered on any page or the page with the action=info parameter, which displays the shortdesc property. This is achieved using the wikitext `{{SHORTDESC:<img src=x onerror=alert()>}}`. This issue has a patch in version 2.3.4.
CVSS 4.7
TensorFlow < 2.5.3 - Denial of Service via Division by Zero in Convolution Cost Estimator
Tensorflow is an Open Source Machine Learning Framework. The estimator for the cost of some convolution operations can be made to execute a division by 0. The function fails to check that the stride argument is strictly positive. Hence, the fix is to add a check for the stride argument to ensure it is valid. 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 - Out-of-bounds Read in Dequantize Op
Tensorflow is an Open Source Machine Learning Framework. The implementation of `Dequantize` does not fully validate the value of `axis` and can result in heap OOB accesses. The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked and this results in reading past the end of the array containing the dimensions of the input tensor. 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 - Integer Overflow in Dequantize Shape Inference
Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `Dequantize` is vulnerable to an integer overflow weakness. The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked, and, since the code computes `axis + 1`, an attacker can trigger an integer 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
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 - Integer Overflow via UnravelIndex Division by Zero
Tensorflow is an Open Source Machine Learning Framework. The implementation of `UnravelIndex` is vulnerable to a division by zero caused by an integer overflow bug. 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 - Out-of-bounds Read in FractionalAvgPoolGrad
Tensorflow is an Open Source Machine Learning Framework. The implementation of `FractionalAvgPoolGrad` does not consider cases where the input tensors are invalid allowing an attacker to read from outside of bounds of heap. 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 - Denial of Service via ThreadPoolHandle Memory Allocation
Tensorflow is an Open Source Machine Learning Framework. The implementation of `ThreadPoolHandle` can be used to trigger a denial of service attack by allocating too much memory. This is because the `num_threads` argument is only checked to not be negative, but there is no upper bound on its value. 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 4.3
TensorFlow < 2.5.3 - Denial of Service via Integer Overflow in StringNGrams
Tensorflow is an Open Source Machine Learning Framework. The implementation of `StringNGrams` can be used to trigger a denial of service attack by causing an out of memory condition after an integer overflow. We are missing a validation on `pad_witdh` and that result in computing a negative value for `ngram_width` which is later used to allocate parts of the output. 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 4.3
TensorFlow < 2.5.3 - Type Confusion in MapStage Implementation
Tensorflow is an Open Source Machine Learning Framework. The implementation of `MapStage` is vulnerable a `CHECK`-fail if the key tensor is not a scalar. 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 Division by Zero in FractionalMaxPool
Tensorflow is an Open Source Machine Learning Framework. The implementation of `FractionalMaxPool` can be made to crash a TensorFlow process via a division by 0. 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 - NULL Pointer Dereference in SparseTensorSliceDataset
Tensorflow is an Open Source Machine Learning Framework. The implementation of `SparseTensorSliceDataset` has an undefined behavior: under certain condition it can be made to dereference a `nullptr` value. The 3 input arguments to `SparseTensorSliceDataset` represent a sparse tensor. However, there are some preconditions that these arguments must satisfy but these are not validated in the implementation. 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 - Denial of Service via Bincount Operation CHECK Failure
Tensorflow is an Open Source Machine Learning Framework. The implementation of `*Bincount` operations allows malicious users to cause denial of service by passing in arguments which would trigger a `CHECK`-fail. There are several conditions that the input arguments must satisfy. Some are not caught during shape inference and others are not caught during kernel implementation. This results in `CHECK` failures later when the output tensors get allocated. 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
By Source