Malicious code in pantheon-agents (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 1ee06d7aabbdf76969119c2f986e18bbc7f0dcac59ae9cae4f7a04798f2d083d The package installs pantheonagents-setup.pth into site-packages, which Python auto-executes at every interpreter startup broader than import-time,...

Malicious code in mem8 (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 5c765c6eef25d18c5a10057d62908ac3bc1ece86e39a9807683834fb7f896b52 The package was found to contain malicious code or consuming dependency that contains malicious code Source: kam193...

MAL-2026-5275 Malicious code in napari-ufish (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 9785bcfea6c0bd6ff8193d721e15b2a80e4e718e16bd8722d018703bbd0b2516 The package was found to contain malicious code or consuming dependency that contains malicious code Source: kam193...

MAL-2026-5280 Malicious code in bramin (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 1fb2ac40fcb4626c5e7dea5e26951bc0965b39a1eb721c1a8f23846f421a5827 bramin ships a bramin-setup.pth file that Python auto-executes at every interpreter startup system-wide, not only when bramin is imported. The.pth...

MAL-2026-5324 Malicious code in pyphetools (PyPI)

The package pyphetools version 0.9.120 contains a malicious .pth file pyphetools-setup.pth that executes a Bun-based credential stealer on every Python startup via CPython's site.py exec mechanism. The payload downloads the Bun runtime from the official GitHub release page, then runs an obfuscate...

MAL-2026-5323 Malicious code in ppkt2synergy (PyPI)

The package ppkt2synergy version 0.1.1 contains a malicious .pth file ppkt2synergy-setup.pth that executes a Bun-based credential stealer on every Python startup via CPython's site.py exec mechanism. The payload downloads the Bun runtime from the official GitHub release page, then runs an...

MAL-2026-5299 Malicious code in pantheon-agents (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 1ee06d7aabbdf76969119c2f986e18bbc7f0dcac59ae9cae4f7a04798f2d083d The package installs pantheonagents-setup.pth into site-packages, which Python auto-executes at every interpreter startup broader than import-time,...

MAL-2026-5276 Malicious code in nucbox (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 0357c6b685cea74f9200e3e7df019e807e34eac6518ec83f1a5a654c35d97959 The package was found to contain malicious code or consuming dependency that contains malicious code Source: kam193...

MAL-2026-5325 Malicious code in ray-mcp-server (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 278bed91803e9a6775f966913bab49658f82a589e086ce8413782418a4bc4833 The package was found to contain malicious code or consuming dependency that contains malicious code Source: kam193...

CVE-2026-9280

creationtimestamp| type| source ---|---|--- 2026-06-06 05:34:45+00:00| seen| https://bsky.app/profile/cve.skyfleet.blue/post/3mnlwlciikb2d 2026-06-12 05:03:40+00:00| seen| https://bsky.app/profile/donwebmedia.bsky.social/post/3mo2xmhmahi26 2026-06-12 08:16:36+00:00| seen|...

[SECURITY] Fedora 44 Update: libinput-1.31.3-1.fc44

libinput is a library that handles input devices for display servers and other applications that need to directly deal with input devices. It provides device detection, device handling, input device event processing and abstraction so minimize the amount of custom input code the user of libinput...

An AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response

University Academic Management Information Systems ACMIS are high-value targets for a wide spectrum of security threats including brute-force login attacks, payment fraud, privilege escalation, insider data theft, and academic integrity violations. Traditional rule-based intrusion detection syste...

Closing the Sim-To-Real Gap: An Evaluation Framework for Autonomous Cyber Defense Configuration of Commercial EDR

Leading commercial endpoint detection and response EDR products have shifted from operator-configured rule sets to multi-component systems where autonomous AI components operate alongside, and increasingly in place of, operator-deployed policies. Autonomous defense agents using commercial EDR as...

Exploit for CVE-2026-34908

UniFi OS Server Unauth RCE Chain Detection Script A safe dete...

CVE-2026-34019

When Bidirectional Forwarding Detection BFD is configured in Static and Dynamic routing protocols, undisclosed traffic can cause the Traffic Management Microkernel TMM to stop processing BFD packets and cause the configured routing protocol to fail over. Note: Software versions which have reached...

CVE-2026-45676

OpenTelemetry eBPF Instrumentation provides eBPF instrumentation based on the OpenTelemetry standard. Prior to version 0.9.0, OBI's replacement ELF parser trusts section offsets, counts, and string offsets from the executable file. A crafted local ELF can make OBI dereference invalid section...

CVE-2026-7422

Insufficient packet validation in FreeRTOS-Plus-TCP before V4.2.6 and V4.4.1 allows an adjacent network actor to bypass all checksum and minimum-size validation by spoofing the Ethernet source MAC address to match one of the device's own registered endpoints, because the loopback detection...

CVE-2026-11244

creationtimestamp| type| source ---|---|--- 2026-06-05 13:24:34+00:00| seen| https://infosec.exchange/users/cR0w/statuses/116697713800926918 2026-06-07 18:00:00+00:00| seen| https://www.hkcert.org/security-bulletin/google-chrome-multiple-vulnerabilities20260608 2026-06-07 18:00:00+00:00| seen|...

The Sound of Malware: A Memory Forensics Approach for Android Malware Analysis Via Audio Signals

Android malware analysis is currently facing increasing challenges in achieving robust classification and detecting stealth attacks. Modern threats employ advanced evasion strategies such as code obfuscation, dynamic loading, packing, and even steganographic manipulation of traditional static and...

FDM: A Framework for Decision-Making to Build ML-Based Malware Detection Systems

Selecting appropriate machine learning ML configurations for malware detection is a complex, multi-criteria problem. Model choice, feature engineering, and update mechanisms must jointly satisfy operational constraints that vary across deployment contexts. This paper proposes the Framework for...