CVE-2026-9272 Possibility of unintended database operations when querying data related to detected anomalies in Progress Flowmon ADS

In Progress Flowmon ADS versions prior to 12.5.6 and 13.0.5, a vulnerability exists whereby an adversary who is authenticated as a low-privileged user in the Anomaly Detection System ADS may send specially crafted requests that could result in unauthorized access to application data and its...

Missed incidents, persistent threats, and response gaps: Insights from compromise assessment projects

The following analysis presents the key findings from Kaspersky Compromise Assessment engagements performed in 2025. A compromise assessment is an independent, expert-driven service that examines whether a target network has been compromised. The service combines threat intelligence analysis...

CVE-2026-13830

creationtimestamp| type| source ---|---|--- 2026-07-02 01:11:03+00:00| seen| https://bsky.app/profile/kriptabiz.bsky.social/post/3mpmtxpml3s2d 2026-07-02 07:20:09+00:00| seen| https://www.hkcert.org/security-bulletin/google-chrome-multiple-vulnerabilities20260702 2026-07-06 07:16:03+00:00| seen|...

Cloak and Detonate: Scanner Evasion and Dynamic Detection of Agent Skill Malware

LLM coding agents increasingly rely on third-party agent skills from public marketplaces, which execute with the agent's privileges and create a software supply-chain attack surface: a malicious skill can steal credentials, exfiltrate source code, or install backdoors. Existing defenses use stati...

PT-2026-55260

Name of the Vulnerable Software and Affected Versions Flowmon ADS versions prior to 12.5.6 Flowmon ADS versions prior to 13.0.5 Description An authenticated low-privileged user in the Anomaly Detection System ADS can send specially crafted requests to gain unauthorized access to application data...

PT-2026-57604

Finding Location: core/src/shared/secure-fetch.ts:52-54 The localhost exception allowed localhost and 127.0.0.1 but did not cover 0.0.0.0, ::1 IPv6 localhost, or the full 127.0.0.0/8 loopback range. Status Fixed in v0.2.136 — Localhost detection now covers localhost, 127.0.0.1, ::1, 0.0.0.0, and...

Knowledge over Parameters: Evolving Smart Contract Vulnerability Detection

Smart contract vulnerabilities are predominantly logic bugs whose detection requires structured, step-by-step procedural knowledge of attack patterns and contract semantics. Existing LLM-based methods struggle to generate this knowledge automatically: prompt-based methods rely on manually crafted...

CVE-2026-13816

creationtimestamp| type| source ---|---|--- 2026-07-01 19:23:28+00:00| seen| https://bsky.app/profile/kriptabiz.bsky.social/post/3mpmak65jj526 2026-07-02 07:19:39+00:00| seen| https://www.hkcert.org/security-bulletin/google-chrome-multiple-vulnerabilities20260702...

aadhaar-detection (0.5.0), accuinsight (>=1.0.84, <=1.0.87) +178 more potentially affected by CVE-2026-12480 via keras (2.8.0rc1)

keras PYPI version 2.8.0rc1 is affected by a known vulnerability. The following packages have a transitive dependency on keras and may be impacted: - aadhaar-detection 0.5.0 - accuinsight =1.0.84, =0.1.11, =0.1.11, =0.6.3, =0.0.6, =0.0.1, =1.1.2, =1.1.17 and more Source cves: CVE-2026-12480 Sourc...

Exploit for External Control of File Name or Path in Microsoft

CVE-2025-24054 — Detection & Mitigation Lab Project log for a...

EUVD-2025-210392

picklescan before 0.0.29 fails to detect the built-in python profile.Profile.run function when used in pickle reduce methods, allowing attackers to execute arbitrary code. Remote attackers can craft malicious pickle files that bypass picklescan detection and achieve code execution upon...

EUVD-2025-210386

picklescan before 0.0.28 fails to detect malicious pickle files using torch.utils.collectenv.run function in reduce methods. Attackers can embed undetected code in pickle files that executes remote commands when loaded by victims...

EUVD-2025-210389

picklescan before 0.0.30 fails to detect cProfile.run function calls in pickle reduce methods, allowing attackers to execute arbitrary code. Remote attackers can craft malicious pickle files with cProfile.run payloads that bypass picklescan detection and achieve code execution upon deserializatio...

VeriChat: An Agentic Conversational AI Assistant for Hardware Security Verification

Hardware security verification is a multi-stage process in which engineers must navigate complex design analyses, threat considerations, and verification strategies. They often need security-focused guidance, yet current verification environments provide little structured support for such...

Forensic-Oriented Intrusion Detection Using Synthetic Network Traffic Data and Explainable Artificial Intelligence

Digital forensic investigations of network intrusions require analytical outputs that are traceable, reproducible, and court-defensible - requirements existing machine learning pipelines do not satisfy, since they treat original evidence as training data and produce opaque classifications without...

Suricata DoS

The vulnerability of the NFS intrusion detection and prevention system Suricata depends on the unlimited distribution of resources. Exploiting this vulnerability allows a remote attacker to cause service interruptions...

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks

Lightweight machine learning models are increasingly proposed for intrusion detection in Industrial Internet of Things IIoT networks due to their suitability for resource-constrained edge deployment. Most reported results evaluate these models only within their training network, leaving behavior ...

Rise from the Ashes: LLM-Based Static Analysis for Deep Learning Framework Bugs

Deep learning DL frameworks are critical AI infrastructures that often hide bugs with serious security implications. While dynamic approaches such as fuzzing are effective in uncovering these bugs, they require real test execution and incur high computational costs. Static analysis is a natural...

Generative AI and Federated Learning for Intrusion Detection Systems: A Survey

Intrusion Detection Systems IDSs are essential for monitoring network traffic and identifying malicious activities in modern cyber-physical, Internet of Things IoT, enterprise, and distributed network environments. However, developing reliable IDS models remains challenging because attack behavio...

FreeBSD : FreeBSD -- Incorrect audit records for ptrace(2) syscall requests (cd658f09-74e2-11f1-958d-bc241121aa0a)

The version of FreeBSD installed on the remote host is prior to tested version. It is, therefore, affected by a vulnerability as referenced in the cd658f09-74e2-11f1-958d-bc241121aa0a advisory. When auditing a system call executed via ptracePTSCREMOTE, the kernel passed the return value of an...