Writeup Exploits
63,466 exploits tracked across all sources.
libjpeg-turbo 2.0.90 - Heap-Based Buffer Over-Read in jdcoefct.c
libjpeg-turbo version 2.0.90 has a heap-based buffer over-read (2 bytes) in decompress_smooth_data in jdcoefct.c.
CVSS 7.1
pikepdf 1.3.0-2.9.2 - XML External Entity Injection in XMP Metadata Parser
models/metadata.py in the pikepdf package 1.3.0 through 2.9.2 for Python allows XXE when parsing XMP metadata entries.
CVSS 7.5
Sydent < 2.3.0 - Unauthenticated Denial of Service via Unbounded HTTP Request/Response
Sydent is a reference Matrix identity server. Sydent does not limit the size of requests it receives from HTTP clients. A malicious user could send an HTTP request with a very large body, leading to memory exhaustion and denial of service. Sydent also does not limit response size for requests it makes to remote Matrix homeservers. A malicious homeserver could return a very large response, again leading to memory exhaustion and denial of service. This affects any server which accepts registration requests from untrusted clients. This issue has been patched by releases 89071a1, 0523511, f56eee3. As a workaround request sizes can be limited in an HTTP reverse-proxy. There are no known workarounds for the problem with overlarge responses.
CVSS 7.5
Sydent < 2.3.0 - Server-Side Request Forgery via HTTP GET Request
Sydent is a reference Matrix identity server. Sydent can be induced to send HTTP GET requests to internal systems, due to lack of parameter validation or IP address blacklisting. It is not possible to exfiltrate data or control request headers, but it might be possible to use the attack to perform an internal port enumeration. This issue has been addressed in in 9e57334, 8936925, 3d531ed, 0f00412. A potential workaround would be to use a firewall to ensure that Sydent cannot reach internal HTTP resources.
CVSS 7.7
Anuko Time Tracker < 1.19.27.5431 - Cross-Site Request Forgery
Anuko Time Tracker is an open source, web-based time tracking application written in PHP. In Time Tracker before version 1.19.27.5431 a Cross site request forgery (CSRF) vulnerability existed. The nature of CSRF is that a logged on user may be tricked by social engineering to click on an attacker-provided form that executes an unintended action such as changing user password. The vulnerability is fixed in Time Tracker version 1.19.27.5431. Upgrade is recommended. If upgrade is not practical, introduce ttMitigateCSRF() function in /WEB-INF/lib/common.php.lib using the latest available code and call it from ttAccessAllowed().
CVSS 5.4
Nacos < 1.4.1 - Unauthenticated Database Manipulation via Derby Endpoint
Nacos is a platform designed for dynamic service discovery and configuration and service management. In Nacos before version 1.4.1, the ConfigOpsController lets the user perform management operations like querying the database or even wiping it out. While the /data/remove endpoint is properly protected with the @Secured annotation, the /derby endpoint is not protected and can be openly accessed by unauthenticated users. These endpoints are only valid when using embedded storage (derby DB) so this issue should not affect those installations using external storage (e.g. mysql)
CVSS 8.6
Nacos < 1.4.1 - Authentication Bypass via User-Agent Spoofing
Nacos is a platform designed for dynamic service discovery and configuration and service management. In Nacos before version 1.4.1, when configured to use authentication (-Dnacos.core.auth.enabled=true) Nacos uses the AuthFilter servlet filter to enforce authentication. This filter has a backdoor that enables Nacos servers to bypass this filter and therefore skip authentication checks. This mechanism relies on the user-agent HTTP header so it can be easily spoofed. This issue may allow any user to carry out any administrative tasks on the Nacos server.
CVSS 8.6
Grassroot Platform < 1.3.1 - Improper Verification of Cryptographic Signature in JWT Refresh
Grassroot Platform is an application to make it faster, cheaper and easier to persistently organize and mobilize people in low-income communities. Grassroot Platform before master deployment as of 2021-04-16 did not properly verify the signature of JSON Web Tokens when refreshing an existing JWT. This allows to forge a valid JWT. The problem has been patched in version 1.3.1 by deprecating the JWT refresh function, which was an overdue deprecation regardless (the "refresh" flow is no longer used).
CVSS 7.5
October CMS 1.0.471 - Unauthenticated Authentication Bypass via Crafted Request
octobercms in a CMS platform based on the Laravel PHP Framework. In affected versions of the october/system package an attacker can exploit this vulnerability to bypass authentication and takeover of and user account on an October CMS server. The vulnerability is exploitable by unauthenticated users via a specially crafted request. This only affects frontend users and the attacker must obtain a Laravel secret key for cookie encryption and signing in order to exploit this vulnerability. The issue has been patched in Build 472 and v1.1.5.
CVSS 7.4
XStream < 1.4.17 - Remote Code Execution via Untrusted Data Deserialization
XStream is software for serializing Java objects to XML and back again. A vulnerability in XStream versions prior to 1.4.17 may allow a remote attacker has sufficient rights to execute commands of the host only by manipulating the processed input stream. No user who followed the recommendation to setup XStream's security framework with a whitelist limited to the minimal required types is affected. The vulnerability is patched in version 1.4.17.
CVSS 7.5
TensorFlow 2.4.0-2.4.1 - Denial of Service via QuantizeAndDequantizeV4Grad CHECK-Fail
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 `tf.raw_ops.QuantizeAndDequantizeV4Grad`. This is because the implementation does not validate the rank of the `input_*` tensors. In turn, this results in the tensors being passes as they are to `QuantizeAndDequantizePerChannelGradientImpl`. However, the `vec<T>` method, requires the rank to 1 and triggers a `CHECK` failure otherwise. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 as this is the only other affected version.
CVSS 2.5
TensorFlow < 2.1.4 - Denial of Service via Infinite Loop in TFlite Graph Evaluation
TensorFlow is an end-to-end open source platform for machine learning. TFlite graphs must not have loops between nodes. However, this condition was not checked and an attacker could craft models that would result in infinite loop during evaluation. In certain cases, the infinite loop would be replaced by stack overflow due to too many recursive calls. For example, the `While` implementation(https://github.com/tensorflow/tensorflow/blob/106d8f4fb89335a2c52d7c895b7a7485465ca8d9/tensorflow/lite/kernels/while.cc) could be tricked into a scneario where both the body and the loop subgraphs are the same. Evaluating one of the subgraphs means calling the `Eval` function for the other and this quickly exhaust all stack space. 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. Please consult our security guide(https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.
CVSS 7.3
TensorFlow < 2.1.4 - Memory Corruption via SparseAdd Input Validation
TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in `SparseAdd` results in allowing attackers to exploit undefined behavior (dereferencing null pointers) as well as write outside of bounds of heap allocated data. The implementation(https://github.com/tensorflow/tensorflow/blob/656e7673b14acd7835dc778867f84916c6d1cac2/tensorflow/core/kernels/sparse_sparse_binary_op_shared.cc) has a large set of validation for the two sparse tensor inputs (6 tensors in total), but does not validate that the tensors are not empty or that the second dimension of `*_indices` matches the size of corresponding `*_shape`. This allows attackers to send tensor triples that represent invalid sparse tensors to abuse code assumptions that are not protected by validation. 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.
CVSS 5.3
TensorFlow < 2.1.4 - Heap Buffer Overflow via RaggedTensorToTensor Input Validation
TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in `tf.raw_ops.RaggedTensorToTensor`, an attacker can exploit an undefined behavior if input arguments are empty. The implementation(https://github.com/tensorflow/tensorflow/blob/656e7673b14acd7835dc778867f84916c6d1cac2/tensorflow/core/kernels/ragged_tensor_to_tensor_op.cc#L356-L360) only checks that one of the tensors is not empty, but does not check for the other ones. There are multiple `DCHECK` validations to prevent heap OOB, but these are no-op in release builds, hence they don't prevent anything. The fix will be included in TensorFlow 2.5.0. We will also cherrypick these commits 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.
CVSS 5.3
TensorFlow < 2.1.4 - Memory Corruption via SparseAdd Input Validation Bypass
TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in `SparseAdd` results in allowing attackers to exploit undefined behavior (dereferencing null pointers) as well as write outside of bounds of heap allocated data. The implementation(https://github.com/tensorflow/tensorflow/blob/656e7673b14acd7835dc778867f84916c6d1cac2/tensorflow/core/kernels/sparse_add_op.cc) has a large set of validation for the two sparse tensor inputs (6 tensors in total), but does not validate that the tensors are not empty or that the second dimension of `*_indices` matches the size of corresponding `*_shape`. This allows attackers to send tensor triples that represent invalid sparse tensors to abuse code assumptions that are not protected by validation. 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.
CVSS 5.3
TensorFlow < 2.1.4 - Heap Buffer Overflow in BandedTriangularSolve
TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a heap buffer overflow in Eigen implementation of `tf.raw_ops.BandedTriangularSolve`. The implementation(https://github.com/tensorflow/tensorflow/blob/eccb7ec454e6617738554a255d77f08e60ee0808/tensorflow/core/kernels/linalg/banded_triangular_solve_op.cc#L269-L278) calls `ValidateInputTensors` for input validation but fails to validate that the two tensors are not empty. Furthermore, since `OP_REQUIRES` macro only stops execution of current function after setting `ctx->status()` to a non-OK value, callers of helper functions that use `OP_REQUIRES` must check value of `ctx->status()` before continuing. This doesn't happen in this op's implementation(https://github.com/tensorflow/tensorflow/blob/eccb7ec454e6617738554a255d77f08e60ee0808/tensorflow/core/kernels/linalg/banded_triangular_solve_op.cc#L219), hence the validation that is present is also not effective. 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.
CVSS 3.6
TensorFlow < 2.1.4 - Out-of-bounds Read in CTCLoss
TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in `tf.raw_ops.CTCLoss` allows an attacker to trigger an OOB read from heap. The fix will be included in TensorFlow 2.5.0. We will also cherrypick these commits 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.
CVSS 6.3
Data::Validate::IP <0.29 - Info Disclosure
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.
CVSS 7.5
Froala Editor 3.2.6 - Stored Cross-Site Scripting via Hyperlink Creation Module
Froala Editor 3.2.6 is affected by Cross Site Scripting (XSS). Under certain conditions, a base64 crafted string leads to persistent Cross-site scripting (XSS) vulnerability within the hyperlink creation module.
CVSS 6.1
DMA Softlab Radius Manager 4.4.0 - CSRF
DMA Softlab Radius Manager 4.4.0 allows CSRF with impacts such as adding new manager accounts via admin.php.
CVSS 8.8
Composr 10.0.36 - Cross-Site Scripting in XML Script
Composr 10.0.36 allows XSS in an XML script.
CVSS 6.1
Composr 10.0.36 - Unauthenticated Arbitrary File Upload
Composr 10.0.36 allows upload and execution of PHP files.
CVSS 9.8
Simple Glasgow Haskell Compiler < 0.2.3 - Remote Code Execution via REPL Command Configuration
The unofficial vscode-ghc-simple (aka Simple Glasgow Haskell Compiler) extension before 0.2.3 for Visual Studio Code allows remote code execution via a crafted workspace configuration with replCommand.
CVSS 9.8
Laminas Project laminas-http <2.14.2 - Code Injection
Laminas Project laminas-http before 2.14.2, and Zend Framework 3.0.0, has a deserialization vulnerability that can lead to remote code execution if the content is controllable, related to the __destruct method of the Zend\Http\Response\Stream class in Stream.php. NOTE: Zend Framework is no longer supported by the maintainer. NOTE: the laminas-http vendor considers this a "vulnerability in the PHP language itself" but has added certain type checking as a way to prevent exploitation in (unrecommended) use cases where attacker-supplied data can be deserialized
CVSS 9.8
Laminas Project laminas-http <2.14.2 - Code Injection
Laminas Project laminas-http before 2.14.2, and Zend Framework 3.0.0, has a deserialization vulnerability that can lead to remote code execution if the content is controllable, related to the __destruct method of the Zend\Http\Response\Stream class in Stream.php. NOTE: Zend Framework is no longer supported by the maintainer. NOTE: the laminas-http vendor considers this a "vulnerability in the PHP language itself" but has added certain type checking as a way to prevent exploitation in (unrecommended) use cases where attacker-supplied data can be deserialized
CVSS 9.8
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