CVE-2025-55556

TensorFlow v2.18.0 was discovered to output random results when compiling Embedding, leading to unexpected behavior in the application...

CVE-2025-55556

The TensorFlow machine learning framework (specifically version v2.18.0 ) is vulnerable to an Incorrect Calculation in the Embedding operator. When the input_dim is set to 1 , the operator outputs random results or incorrect values (such as always outputting 0 without XLA) during compilation. Thi...

CVE-2025-55556

TensorFlow v2.18.0 was discovered to output random results when compiling Embedding, leading to unexpected behavior in the application...

CVE-2025-55556

TensorFlow v2.18.0 was discovered to output random results when compiling Embedding, leading to unexpected behavior in the application...

CVE-2025-55556: Embedded Malicious Code

TensorFlow v2.18.0 was discovered to output random results when compiling Embedding, leading to unexpected behavior in the application...

CVE-2025-55556

TensorFlow v2.18.0 was discovered to output random results when compiling Embedding, leading to unexpected behavior in the application...

CVE-2025-10854

The txtai framework allows the loading of compressed tar files as embedding indices. While the validate function is intended to prevent path traversal vulnerabilities by ensuring safe filenames, it does not account for symbolic links within the tar file. An attacker is able to write a file anywhe...

UNIX Symbolic Link (Symlink) Following

Overview txtai is an All-in-one open-source AI framework for semantic search, LLM orchestration and language model workflows Affected versions of this package are vulnerable to UNIX Symbolic Link Symlink Following via the validate function due to improper sanitization of symbolic links within the...

CVE-2025-10854 Symlink Following in txtai leads to arbitrary file write when loading untrusted embedding indices

The txtai framework allows the loading of compressed tar files as embedding indices. While the validate function is intended to prevent path traversal vulnerabilities by ensuring safe filenames, it does not account for symbolic links within the tar file. An attacker is able to write a file anywhe...

CVE-2025-10854 Symlink Following in txtai leads to arbitrary file write when loading untrusted embedding indices

The txtai framework allows the loading of compressed tar files as embedding indices. While the validate function is intended to prevent path traversal vulnerabilities by ensuring safe filenames, it does not account for symbolic links within the tar file. An attacker is able to write a file anywhe...

CVE-2025-10854 Symlink Following in txtai leads to arbitrary file write when loading untrusted embedding indices

The txtai framework allows the loading of compressed tar files as embedding indices. While the validate function is intended to prevent path traversal vulnerabilities by ensuring safe filenames, it does not account for symbolic links within the tar file. An attacker is able to write a file anywhe...

PT-2025-38714

Name of the Vulnerable Software and Affected Versions txtai affected versions not specified Description The txtai framework permits loading compressed tar files as embedding indices. The validate function, designed to prevent path traversal, does not account for symbolic links within these tar...

URL2Graph++: Unified Semantic-Structural-Character Learning for Malicious URL Detection

Malicious URL detection remains a major challenge in cybersecurity, primarily due to two factors: 1 the exponential growth of the Internet has led to an immense diversity of URLs, making generalized detection increasingly difficult; and 2 attackers are increasingly employing sophisticated...

ALPHA: LLM-Enabled Active Learning for Human-Free Network Anomaly Detection

Network log data analysis plays a critical role in detecting security threats and operational anomalies. Traditional log analysis methods for anomaly detection and root cause analysis rely heavily on expert knowledge or fully supervised learning models, both of which require extensive labeled dat...

MAL-2025-46308 Malicious code in text-openai-embedding-js (npm)

The package text-openai-embedding-js was found to contain malicious code...

Malicious code in text-openai-embedding-js (npm)

The package text-openai-embedding-js was found to contain malicious code...

CLSA-2025-1756409595 clamav: Fix of 4 CVEs

Update to 1.4.3 LTS - CVE-2025-20260: Fixed a possible buffer overflow write bug in the PDF file parser - CVE-2025-20234: Fixed a possible buffer overflow read bug in the UDF file parser - CVE-2025-20128: Fixed a possible buffer overflow read bug in the OLE2 file parser - CVE-2024-20506: Changed...

CVE-2025-3414

The Structured Content JSON-LD wpsc WordPress plugin before 1.7.0 does not validate and escape some of its block options before outputting them back in a page/post where the block is embed, which could allow users with the contributor role and above to perform Stored Cross-Site Scripting attacks...

SUSE CVE-2025-50738

The Memos application, up to version v0.24.3, allows for the embedding of markdown images with arbitrary URLs. When a user views a memo containing such an image, their browser automatically fetches the image URL without explicit user consent or interaction beyond viewing the memo. This can be...

FetFIDS: a Feature Embedding Attention Based Federated Network Intrusion Detection Algorithm

Intrusion Detection Systems IDS have an increasingly important role in preventing exploitation of network vulnerabilities by malicious actors. Recent deep learning based developments have resulted in significant improvements in the performance of IDS systems. In this paper, we present FetFIDS,...