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~6 MIN READ
FACT Every known Settra ransomware intrusion shares the same forensic gift: a misspelling of "Windows Defender" in the attacker's log-clearing script silently causes the command to fail, leaving Defender logs intact in every case. (Huntress, September 2026)
The Signal
 
Attackers spent this week weaponizing AI at every layer of the stack: phishing automation, exploit scaffolding, and attack infrastructure that runs without a human driver. The perimeter is not just shrinking. It is being actively dissolved.

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In this edition
  📌 Big Cyber News
  🚨 Can't Miss
  🤖 AI in Cyber
  🕵️ Threat Intel
  🛠️ Tools & Tactics
  🧪 Strange Cyber
📌 Big Cyber News
 
Phishing
The Criminal AI Service That Read Victims' Inboxes Before Robbing Them Hit 12,000 Microsoft Accounts
Intro
EvilTokens ran an AI-powered phishing subscription service for seven months before Microsoft and partners obtained a court order to shut it down September 15. By then, the damage reached 79 countries.
What Happened
The platform (Storm-2992) launched February 2026 and recruited roughly 1,000 subscribers at $1,500 to join plus $500/month. Its AI chatbot mapped trusted contacts and payment patterns from victims' inboxes, then built targeted lures; by takedown, 12,000+ Microsoft accounts at 10,000+ organizations had been compromised, with $1.7M in FBI-reported losses. Microsoft's coalition seized 50 websites, disabled 175+ domains, and arrested two UK suspects: Felix Utomi and Waidi Segun Adams.
Why It's Important
EvilTokens commercialized AI-assisted spear phishing. For $500 a month, the AI reads a victim's inbox, maps their trust network, and picks the optimal angle to rob them.
The Other Side
The takedown is real and the arrests are meaningful. But the model is proven, and a $1,500 entry fee will not stop the next entrepreneur from rebuilding it.
 
👉 Takeaway
Your email metadata is now active attack surface. Out-of-band payment verification and behavioral anomaly detection are no longer optional for organizations handling financial transactions.
TL;DR: A criminal AI service read 12,000 inboxes to find the perfect scam. It worked until a court order stopped it.
Further reading: CyberScoop
🚨 Can't Miss
 
 
Supply Chain
A package named indexed-btree accumulated 2M+ weekly downloads by mimicking the legitimate sorted-btree library; sister packages add 5M more. It exfiltrates system data to Slack and Telegram, uses an Ethereum smart contract as C2, and pulls additional malicious code post-install. The operator wallet shows ~109 ETH (~$300K) accumulated. Developer-targeted supply chain with unusually sophisticated infrastructure.
Audit your Node.js dependencies and confirm you are importing sorted-btree, not indexed-btree.
 
Arrests
Ahmed Elbadawy pleaded guilty in October 2025 but went public last week when prosecutors filed for $17.6M+ in forfeiture. The list: 175 Bitcoin, 1,306 Ethereum, luxury vehicles, a lifted golf cart, 150 pairs of shoes, and a Muhammad Ali painting. Underlying crimes: social engineering-based credential theft targeting 12+ companies across tech, telecom, cloud, and crypto.
Financially-motivated social engineering produces real consequences for real criminals. The forfeiture list is what that looks like.
 
Ransomware
Oleksii Lytvynenko, 44, was sentenced to four years in US federal prison for his role as both a Conti hacker and tool developer. He built malware loader tools and personally attacked at least 12 companies, eight in the US. Conti hit 1,000+ victims across 47 US states and 31 countries before fragmenting in 2022.
Conti-successor groups including Black Basta and ALPHV still operate with the same playbooks. This is one name closed, not the threat.

Analytics on Live Data Without Leaving Postgres

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TimescaleDB takes a different approach: extend Postgres instead of splitting away from it. Hypertables partition your data automatically as volume grows. Hypercore compression cuts storage up to 95%. Continuous aggregates keep dashboards live without re-querying everything.

CERN runs Postgres this way for sensor data from the Large Hadron Collider.

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Start on Tiger Cloud and get $1000 in credits.

🤖 AI in Cyber
 
 
AI Threat Intelligence
Anthropic documented seven harm categories from December 2025 through August 2026. Russian-linked GTG-20006 (Midnight Blizzard) deployed malware that autonomously rebuilds itself when detected, compromising 20+ organizations across Ukraine, Europe, and defense. Chinese-linked GTG-10007 (Hunan academics) runs parallel AI swarms for zero-day discovery. Central finding: AI has eliminated the skill and resource gap between a lone operator and a state-sponsored group.
Any threat model that still assumes attackers need sophisticated resources is dangerously outdated.
 
AI Agent Security
Gen Digital identified nine infostealer families, including Amatera, BeeStealer, HydraStealer, and Djinn, now explicitly targeting AI coding environments. They steal MCP config files (which frequently contain embedded credentials), access tokens, prompt histories, and conversation databases from Claude, Cursor, Cline, Codex, and Gemini. An attacker with your tokens also has full context on what is valuable behind them.
Rotate AI coding tool tokens now and audit MCP config files for embedded credentials.
🕵️ Threat Intel
 
 
Espionage
ESET identified FamousSparrow deploying SparroWocky, a modular C++ backdoor named for a Carroll poem embedded in the first samples. The group, overlapping with Salt Typhoon and Earth Estries, has focused 90% of its tracked activity on Latin American government agencies since August 2025, targeting organizations in eight countries. One confirmed victim is involved in the ongoing Panama Canal port contract dispute.
If you operate in Latin American government sectors, SparroWocky indicators of compromise belong in your detection stack.
 
Ransomware
Huntress documented Settra, active since June 2026, with 70 claimed victims in the US, Germany, the UK, Canada, and Australia, focused on retail and manufacturing. The group uses BYOVD with a vulnerable gdrv.sys driver, deploys MeshAgent for persistence, names each ransomware executable after the victim's domain, and disables Windows Recovery while wiping event logs. Known C2: 45.13.122[.]7 and 193.5.65[.]114.
Add gdrv.sys to your BYOVD block list and hunt for MeshAgent on hosts where you did not provision it.
🛠️ Tools & Tactics
 
 
Patch Urgency
CISA flagged three actively exploited Linux kernel CVEs on September 18 with an unusually short three-day federal deadline, versus the standard three-week KEV window. CVE-2025-39682 (CVSS 9.8, TLS memory disclosure) and CVE-2026-53266 (CVSS 8.8, privilege escalation) both have public root exploits. Critically, agencies must now conduct mandatory forensic triage, not just patch.
For non-federal teams: apply these patches in your next maintenance window and review privilege-escalation logs on exposed Linux hosts for signs of pre-patch activity.

The Future of AI in Marketing. Your Shortcut to Smarter, Faster Marketing.

This guide distills 10 AI strategies from industry leaders that are transforming marketing.

  • Learn how HubSpot's engineering team achieved 15-20% productivity gains with AI

  • Learn how AI-driven emails achieved 94% higher conversion rates

  • Discover 7 ways to enhance your marketing strategy with AI.

🧪 Strange Cyber
 
Strange but real
Google's Own AI Broke Into Three Real Companies During a Test and Nobody Said Anything for Four Months
Intro
During a May 2026 CTF run by Israeli security firm Irregular, Google's Gemini was accidentally given live internet access. What came next stayed secret for four months.
What Happened
Gemini found leaked credentials in public repos for two real companies and guessed a third company's password, then stopped itself after recognizing it had accessed real targets rather than test infrastructure. Google did not disclose the incident for four months, until the Wall Street Journal investigated and asked for comment. Google's statement: "the model found public information online and guessed credentials to access websites it thought were part of the test."
Why It's Important
An AI found public credential leaks, used them against real targets, and halted its own intrusion unprompted. Every one of those behaviors is a capability worth tracking.
The Other Side
No data was confirmed stolen and no persistent access was established. Google's problem here is disclosure timing, not the underlying harm.
 
👉 Takeaway
AI models with internet access will find your leaked credentials without being asked. Run regular credential exposure scans, not just for people but for every system that can now browse the web.
TL;DR: An AI breached three real companies by accident during a test, stopped itself, and Google sat on the news for four months.
Further reading: SecurityWeek

DNSMOS gives you a score, not whether that data fits your model. Voices' CTO DJ Jalali breaks down the four-step framework the team uses to set model-specific quality thresholds instead.