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New infosec products of the week: September 4, 2026
Weekly roundup covers F5's AI-powered WAF enhancements, Ping Identity's personal AI agent access, Superna 2.15 cyberstorage, and BugBase Pentest Copilot Enterprise.
This week's product roundup features releases from BugBase, F5 Networks, Ping Identity, and Superna. F5's WAF for Distributed Cloud adds anomaly detection and agentic threat intelligence for real-time virtual patching, Ping Identity launched Enterprise Personal Agent Access for securing personal AI agents, Superna 2.15 adds guided event-closing workflows for cyberstorage operations, and BugBase's Pentest Copilot Enterprise automates black-box pentesting across 100 vulnerability types using real Chromium browsers.
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Week in review: ServiceNow pre-auth RCE exploited in the wild, Hugging Face breached
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AI Coding Tools Now a Prime Target for Threat Actors, Google Warns
Google Threat Intelligence Group warns threat actors increasingly target AI coding tools and proprietary AI data, with UNC6780's Dustmaker enabling large-scale supply chain compromises.
Google Threat Intelligence Group's September 8 report says AI-assisted coding tools have become prime targets, contributing to large-scale software supply chain compromises in 2025 and early 2026. Financially motivated group UNC6780 used its Dustmaker credential stealer to extract tokens from GitHub Actions runner memory and compromise packages across PyPI, npm, and Docker Hub, then sold harvested AI tool credentials to other criminals. Chinese nation-state actor UNC6508 conducted espionage against proprietary AI research at North American academic, medical, and military institutions, while extortion gangs stole models, prompts, and source code in Q2 2026. GTIG also documented agentic attacker experimentation, including an autonomous multi-agent credential harvesting campaign built in under six hours and a 'Recon' C2 framework managing over 23,800 harvested secrets.
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PentestGPT: Open-source automated penetration testing agentic framework
Open-source PentestGPT runs autonomous LLM-driven penetration tests via Claude Code and Codex, with legacy human-in-the-loop mode supporting many providers.
PentestGPT, originally published at USENIX Security 2024 by Gelei Deng and colleagues, is an open-source framework that lets a large language model autonomously run penetration testing stages (recon, exploit, walkthrough) with no human in the loop, driving Claude Code or Codex CLIs. A legacy interactive mode uses three cooperating LLM sessions maintaining a Pentesting Task Tree and supports OpenAI, Anthropic, Google Gemini, DeepSeek, xAI, Qwen, Moonshot, and local models via Ollama. The tool sends anonymous telemetry to Langfuse by default, excluding command outputs, credentials, and flags, and is available free on GitHub.
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Attack Chains, Not Just Attack Surfaces: Why Testing Individual Techniques Misses the Point
Filigran introduces Attack Chaining in OpenAEV to continuously simulate multi-stage attack paths, exposing gaps that isolated MITRE ATT&CK technique testing misses.
Filigran announced Attack Chaining, a new scenario type in its OpenAEV platform that links individual techniques into automated, continuously-run multi-stage attack paths, using each step's real output (credentials, tokens, open ports) to branch dynamically toward a final objective. The article cites Filigran's State of Threat Management report, in which 93% of security leaders reported a business-impacting cyberattack in the past 12 months, 88% said AI accelerates attackers, and 84% blamed siloed tools and disconnected testing. The 2025 DGFiP breach is cited as an example where individually survivable weaknesses chained into a major intrusion. The feature includes conditional chaining logic, live attack path mapping, structured findings for identifying chokepoints, and predefined scope and safety guardrails.
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Hottest cybersecurity open-source tools of the month: August 2026
August's open-source security roundup highlights NVIDIA SkillSpector for AI agent skill scanning, Future AGI, Chainloop, PentestGPT, and Hazmat agent containment.
Help Net Security's August 2026 roundup covers five open-source tools: NVIDIA's SkillSpector, a scanner that assesses AI agent skills from directories, zips, SKILL.md files, or Git URLs and returns findings and risk scores; Future AGI, an Apache 2.0 platform for tracing, evaluating, simulating, and guardrailing LLM agents; Chainloop, a software supply chain evidence store that produces signed in-toto attestations in CI pipelines; PentestGPT, an agentic penetration testing framework running recon, exploit, and reporting stages; and Hazmat, which runs AI coding agents like Claude Code and Codex inside a separate machine account for containment.
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Week in review: Exploited newly patched BeyondTrust RCE, United Airlines CISO on building resilience
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Gaming the system: how a Chinese-speaking actor turned Brazilian government sites into an SEO weapon
Check Point identifies Chinese-speaking group Gambling Goblin hijacking Brazilian government domains via malicious Apache modules for SEO-manipulated gambling phishing.
Check Point Research tracks a sustained campaign since mid-2025 against Brazilian government and educational organizations by Gambling Goblin, a Chinese-speaking cybercrime cluster linked to Earth Berberoka. Attackers compile and install malicious Apache modules that silently reverse-proxy visitors to phishing pages impersonating Google Play, Microsoft Store, and Amazon, chaining compromised high-reputation domains to inflate search rankings. The group deploys a heavily obfuscated Linux toolkit including DownPro, AlphaAgent, oRAT, a 3snake-based credential stealer, and SSH brute-forcers, with parallel phishing networks localized for Vietnamese, Spanish, and English victims.
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