Large Language Models in Misinformation Ecosystems: Misuse, Defense, and Vulnerability

Large language models LLMs have transformed misinformation from a primarily content-centric problem into a broader ecosystem-level security challenge. When misused, LLMs create risks beyond false content generation, enabling attacks on the social contexts, evidence sources, retrieval corpora, and...

CVE-2026-55780

creationtimestamp| type| source ---|---|--- 2026-07-10 23:12:40+00:00| seen| https://bsky.app/profile/kriptabiz.bsky.social/post/3mqdbkcyc4g26 2026-07-10 23:39:59+00:00| seen| https://bsky.app/profile/kriptabiz.bsky.social/post/3mqdd34wa7o27...

Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning

Recent LLM-based systems have shown promising capabilities for security-focused code analysis. Malware understanding, however, poses a distinct challenge: analysts must reconstruct high-level malicious behaviors under partial observability from sparse, dispersed evidence intertwined with benign...

I Wrote a New Book for Corelight

TLDR: I wrote a new book for Corelight called NDR Essentials. It's free at that link. This is the 10th book that I've authored or co-authored. The rest are all posted at taosecurity.com. Why? It was time. That’s what I thought when I heard that Corelight wanted to update its 2021 book on network...

Secret Scanner Agent: Extracting Secrets and Access Context from Unstructured Documents

Exposed documents such as emails, chat threads, tickets, and incident notes routinely leak credentials, but during incident response a leaked secret is only half the story. Responders also need to identify the "door'' the secret opens: the account, tenant, endpoint, database, cloud resource, or...

Exploit for Path Traversal in Adobe Coldfusion

CVE-2026-48282 — Adobe ColdFusion RDS Validation and Detection...

PackageKit Evidence-Based Exposure Assessment Tool

This script is a defensive assessment utility designed to evaluate potential exposure around PackageKit deployments using observable system evidence rather than assumptions or exploitation attempts...

PenKit51

The open-source AI penetration testing platform with 63 deep exp...

PoCHarness

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CVE-2022-50973

Yonyou KSOA 9.0 contains an unauthenticated arbitrary file upload vulnerability in the com.sksoft.bill.ImageUpload servlet that allows unauthenticated attackers to upload arbitrary files by submitting a POST request with attacker-controlled filepath and filename parameters without any...

CVE-2022-50973

Yonyou KSOA 9.0 is vulnerable to an unauthenticated arbitrary file upload flaw in the com.sksoft.bill.ImageUpload servlet. The root cause is a lack of authentication and validation for file types, extensions, or content when processing POST requests with attacker-controlled filepath and filename ...

CVE2PoC

CVE2PoC A prototype for generating real npm vulnerability PoC...

CVE-2026-13881

creationtimestamp| type| source ---|---|--- 2026-07-01 20:39:36+00:00| seen| https://bsky.app/profile/kriptabiz.bsky.social/post/3mpmescdq4c2u 2026-07-01 20:39:39+00:00| seen| https://bsky.app/profile/qiancx.bsky.social/post/3mpmesg4dmi2a 2026-07-02 07:22:13+00:00| seen|...

CVE-2026-10539

creationtimestamp| type| source ---|---|--- 2026-07-01 09:00:27+00:00| seen| https://infosec.exchange/users/offseq/statuses/116843900249979266 2026-07-01 09:00:30+00:00| seen| https://bsky.app/profile/offseq.bsky.social/post/3mpl5q6s6c62x 2026-07-01 09:13:02+00:00| seen|...

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...

bounty-hunter-framework

Claude Bounty Hunter Framework Professional bug bounty hunt...

CVE-2026-46817

creationtimestamp| type| source ---|---|--- 2026-06-29 13:46:37+00:00| seen| https://bsky.app/profile/bleepingcomputer.com/post/3mpgmrwrd2525 2026-06-29 14:01:32+00:00| seen| https://bsky.app/profile/sec-news-bot.bsky.social/post/3mpgnmnxscm2c 2026-06-29 14:03:49+00:00| seen|...

Hephaestus: Toward a Cybersecurity AI Scientist

Cyber offense is moving to machine speed; cyber research itself is not. Existing AI scientist systems make end-to-end research automation increasingly plausible, but they target relatively stable scientific domains. We argue that AI-native cybersecurity is a different kind of scientific object. I...

Extending Detection Engineering to Digital Forensics: The Velociraptor Unified Detection-Forensics Methodology

Detection engineering and digital forensics have evolved in parallel rather than in partnership, leaving a gap between real-time alerting and forensic analysis. This paper develops a unified detection-forensics methodology using Velociraptor, where detection logic directly initiates targeted...

Surviving the Mythos Era: Richard Bejtlich on the Case for NDR

Despite the abundance of telemetry at analysts’ disposal, many security operations teams struggle to answer a few basic questions during incident investigation: What happened? What evidence do we have? How do we know we’re seeing it all, in context? Answering these questions requires teams to go...