39961 matches found
MAL-2026-5679 Malicious code in pylogxo (PyPI)
--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector bbeee018f429f5a978b85aa3999c8e24251a85dc787b1e4fd673abcabf157800 On import pylogx, the package spawns a background thread that sleeps 5-20 seconds, force-installs sensitive third-party packages cryptography,...
Exploit for Write-what-where Condition in Linux Linux_Kernel
DirtyFrag CVE-2026-43284 PoC Validation and auditd Detection...
Exploit for Use After Free in Redis
CVE-2026-23479 Scanner Redis Use-After-Free vulnerability CV...
network-intrusion-detector
network-intrusion-detector A Python tool that analyses web se...
MAL-2026-5642 Malicious code in optional-cpu-features (npm)
--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 4dbbb7dd9c604ef3e5782d477d4db7c04c50f7906b19af03e63a540e0a44166e On npm install, both the install and postinstall lifecycle scripts run node install.js, which requires lib/sync.js. That file hardcodes BASE =...
Spring for GraphQL: Annotation Detection Vulnerability
The Spring GraphQL annotation detection mechanism for @Controller data fetchers may not correctly resolve annotations on methods within type hierarchies. This can be an issue if such annotations are used for authorization decisions. When all conditions are met, security annotations can be ignored...
GHSA-PHXQ-526M-79PX Spring for GraphQL: Annotation Detection Vulnerability
The Spring GraphQL annotation detection mechanism for @Controller data fetchers may not correctly resolve annotations on methods within type hierarchies. This can be an issue if such annotations are used for authorization decisions. When all conditions are met, security annotations can be ignored...
CVE-2026-41856 Spring GraphQL Annotation Detection Vulnerability
The Spring GraphQL annotation detection mechanism for @Controller data fetchers may not correctly resolve annotations on methods within type hierarchies. This can be an issue if such annotations are used for authorization decisions. When all conditions are met, security annotations can be ignored...
CVE-2026-41856
The Spring GraphQL annotation detection mechanism for @Controller data fetchers may not correctly resolve annotations on methods within type hierarchies. This can be an issue if such annotations are used for authorization decisions. When all conditions are met, security annotations can be ignored...
CVE-2026-41856 Spring GraphQL Annotation Detection Vulnerability
The Spring GraphQL annotation detection mechanism for @Controller data fetchers may not correctly resolve annotations on methods within type hierarchies. This can be an issue if such annotations are used for authorization decisions. When all conditions are met, security annotations can be ignored...
CVE-2026-41856 Spring GraphQL Annotation Detection Vulnerability
The Spring GraphQL annotation detection mechanism for @Controller data fetchers may not correctly resolve annotations on methods within type hierarchies. This can be an issue if such annotations are used for authorization decisions. When all conditions are met, security annotations can be ignored...
CVE-2026-41856
CVE-2026-41856 affects Spring GraphQL’s annotation detection for @Controller data fetchers, where resolution of annotations in type hierarchies may be incorrect. This can lead to security annotations being ignored at runtime when all conditions are met and annotations are used for authorization d...
CVE-2026-41856: Improper Access Control
The Spring GraphQL annotation detection mechanism for @Controller data fetchers may not correctly resolve annotations on methods within type hierarchies. This can be an issue if such annotations are used for authorization decisions. When all conditions are met, security annotations can be ignored...
PT-2026-80298
The Spring GraphQL annotation detection mechanism for @Controller data fetchers may not correctly resolve annotations on methods within type hierarchies. This can be an issue if such annotations are used for authorization decisions. When all conditions are met, security annotations can be ignored...
ViPER: Vision-Based Packing-Aware Encoder for Robust Malware Detection
Visualization-based malware detection maps raw binary bytes to grayscale images and applies learned visual classifiers, providing an evasion-resistant and disassembly-free alternative to conventional analysis pipelines. However, executable packing remains a critical failure mode: packed binaries...
DNGInspector Structural Analyzer for DNG/TIFF Metadata and IFD Anomaly Detection
This Python script implements a static inspection tool for Digital Negative DNG files by parsing the TIFF-based header and analyzing Image File Directory IFD entries for structural anomalies. The tool validates basic header fields, traverses IFD records, and flags suspicious metadata patterns suc...
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...
openSUSE 16 Security Update : syft (openSUSE-SU-2026:20928-1)
The remote openSUSE 16 host has packages installed that are affected by a vulnerability as referenced in the openSUSE- SU-2026:20928-1 advisory. Changes in syft: - Update to version 1.45.0: Added Features - Add support for ZapAddOns as jar files 4654 4932 @douglasclarke - MySQL binary classifier...
Your Automated Pentest Looks Clean. See What It Missed in This Expert Webinar
Your pentest report looks clean. That might be the problem. Run automated pentesting long enough, and the new findings start to dry up. By the third or fourth run, fewer issues appear. The report looks stable. Leadership reads "stable" as "secure." It usually isn't. The work slows down. The risk...