714 matches found
Astra Linux – Vulnerability in libheif
libheif is a decoder and encoder for HEIF and AVIF file formats. In versions 1.21.2 and earlier, a crafted HEIF sequence file where the saiz box declares more samples than actually exist in the track’s chunk table could cause a heap-buffer-overflow out-of-bounds read in the SampleAuxInfoReader...
Astra Linux – Vulnerability in libheif
libheif is a decoder and encoder for HEIF and AVIF file formats. In versions 1.21.2 and earlier, a crafted 792-byte HEIF sequence file with samplesperchunk=0 in the stsc field could cause an unsigned integer underflow in the Chunk constructor mlastsample = 0 + 0 - 1 = UINT32MAX, causing all sampl...
SUSE-SU-2026:2622-1 Security update for libheif
This update for libheif fixes the following issues Update to 1.23.0: - CVE-2025-68431: heap buffer over-read in HeifPixelImage: overlay via crafted HEIF that exercises the overlay image item bsc1255735. - CVE-2026-3950: manipulation of the component stsz/stts can lead to out-of-bounds read...
CVE-2026-54233
vLLM is an inference and serving engine for large language models LLMs. Prior to 0.23.1rc0, vLLM's /v1/audio/transcriptions endpoint limits compressed upload size but not decoded PCM output. A 25MB OPUS file expands to 14.9GB of float32 PCM at decode time. This vulnerability is fixed in 0.23.1rc0...
UBUNTU-CVE-2026-36849
Denial of Service via large SamplesPerPixel tag...
CVE-2026-36849
Denial of Service via large SamplesPerPixel tag...
PT-2026-53067
Name of the Vulnerable Software and Affected Versions libtiff-devel-32bit versions prior to 4.7.2-1.1 Description A denial of service occurs when processing a large SamplesPerPixel tag. Recommendations Update to version 4.7.2-1.1...
DNGBehaviorAnalyzer Telemetry-Based DNG/TIFF Metadata Parser and Anomaly Detection
This Python script provides a telemetry-driven analysis framework for inspecting Digital Negative DNG files through low-level TIFF metadata parsing and runtime event logging. The tool reads and validates TIFF headers, traverses Image File Directory IFD entries, and records parser activity using...
CVE-2026-41069
A flaw was found in libheif, a HEIF High Efficiency Image File Format and AVIF file format decoder and encoder. A remote attacker could exploit this vulnerability by providing a specially crafted, malformed HEIF sequence file. This malformed file can trigger an out-of-bounds read during the core...
JLSEC-2026-574
libheif is a HEIF and AVIF file format decoder and encoder. In versions 1.21.2 and prior, a crafted HEIF sequence file where the saiz box declares more samples than actually exist in the track's chunk table causes a heap-buffer-overflow out-of-bounds read in the SampleAuxInfoReader constructor. T...
PT-2026-49257
libheif is a HEIF and AVIF file format decoder and encoder. In versions 1.21.2 and prior, a crafted HEIF sequence file where the saiz box declares more samples than actually exist in the track's chunk table causes a heap-buffer-overflow out-of-bounds read in the SampleAuxInfoReader constructor. T...
PT-2026-49256
libheif is a HEIF and AVIF file format decoder and encoder. In versions 1.21.2 and prior, a malformed HEIF sequence file can trigger an out-of-bounds read in core sequence parsing logic, causing DoS. A malformed file can have stco.entry count == 0 creating no chunks while still passing validation...
MalSkillBench: A Runtime-Verified Benchmark of Malicious Agent Skills
AI coding agents such as Claude Code and Gemini CLI increasingly extend themselves with third-party skills: markdown packages bundling natural-language instructions, executable scripts, and tool permissions. Because a skill is at once code and agent-facing instruction, it introduces a supply chai...
libsndfile: integer overflow in ima_reader_init()
A flaw was found in the libsndfile library. An integer overflow in the IMA ADPCM codec can occur when a specially crafted WAV audio file is processed, specifically with malicious samplesperblock and blocks values. This can lead to a heap-based buffer overflow, causing a crash to the application...
Don't Trust Us: A Privacy-By-Design Android Malware Detection Pipeline
Android malware detection increasingly relies on collecting and processing sensitive user data, including device identifiers, network artifacts, and runtime traces, while privacy is too often treated as a secondary concern. Existing privacy-aware approaches typically enforce privacy after data...
Gate AI: LLM Security Benchmark Evaluation Methodology and Results
Published evaluations of prompt-injection and jailbreak detectors for Large Language Models often suffer from two systematic weaknesses: per-dataset threshold tuning and undisclosed operating points. We describe an evaluation harness that addresses both. The detector under evaluation is scored...
PT-2026-45511
Name of the Vulnerable Software and Affected Versions OpenAirInterface5G version 2.4.0 Description An issue exists in the E2SM-KPM RAN Function's PRB utilization metric calculation within the nr-softmodem component. The functions fill RRU PrbTotDl and fill RRU PrbTotUl compute PRB usage percentag...
MAECO-Lite: Modular Ontology for Dynamic Malware Analysis
Capturing dynamic malware behavior in a practical but still semantically precise manner remains a significant challenge in cyber threat intelligence. While standards such as MAEC and STIX provide widely adopted vocabularies for describing malware artifacts and observations, they represent data wi...
Separating Secrets from Placeholders: A Hybrid CNN-CodeBERT Framework for Three-Class Credential Leakage Detection
Credential leakage in public source code repositories poses a critical security threat, with over 23.8 million secrets exposed in 2024 alone. Existing detection tools suffer from high false-positive rates because rigid pattern matching and binary classification schemes fail to distinguish genuine...
Dissecting the Black Box: Circuit-Level Analysis of LLM Vulnerability Detection
Large language models LLMs can detect software vulnerabilities, but how do they actually identify vulnerable code? We address this question using mechanistic interpretability; analyzing the internal computations of a neural network to understand its reasoning process.Using Circuit Tracer on...