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Attackers Expose Ongoing AI Tool Use Targeting Organizations in Latin America

Unit 42 documents two AI-assisted intrusion campaigns against Latin American government, utility, and financial organizations using LLM-orchestrated tooling.

Palo Alto Networks Unit 42 tracks two ongoing intrusion clusters, CL-CRI-1131 (Mexican transportation, federal ministries, municipal water utilities) and CL-CRI-1163 (Brazilian financial sector), both using living-off-the-land techniques, SOCKS5 relays, and custom RATs. The attackers appear to orchestrate operations via commercial LLMs like Claude and GPT-4.1, evidenced by iterative batch scripts and AI-generated tunneling tool naming. The Mexican campaign (also reported as Operation Escaneo by CloudSEK) exfiltrated sensitive data via dynamic-DNS infrastructure with rotated multi-SAN TLS certificates between February and June 2026. This signals broader adoption of AI-enhanced operations by diverse threat groups in the region.

Palo Alto Unit 42 · 13d agoThreat actor in the wild1

FulcrumSec Claims Responsibility for Manchester Airport Group Breach

FulcrumSec leaked ~549GB of Manchester Airport Group data, claiming 8.7M customer profiles exposed via exposed Iterable admin keys.

FulcrumSec posted around 549GB of uncompressed stolen Manchester Airport Group (MAG) data on its leak site, claiming nearly 8.7 million customer profiles with email, name, phone, home town, postcode and residential IP. The group said initial access came from Iterable platform admin keys exposed in the root-domain JavaScript of the Manchester, Stansted and East Midlands airport websites. Allegedly stolen data also includes ~1.2 billion marketing events, 2.5 million bookings, 461,000 SMS records, 108,000 vehicle plates and ~191,000 future bookings. MAG has provided no update since August 27 and the claims remain unverified.

Infosecurity Magazine · 14d agoData breach

Extortion Group FulcrumSec Claims 86GB Manchester Airports Data Theft

Extortion group FulcrumSec claims stealing 86GB of Manchester Airports Group data, exposing 8.7 million customers' personal and booking details.

Manchester Airports Group disclosed a breach on August 27 affecting parking, lounge, Fast Track and WiFi registrations at Manchester, London Stansted and East Midlands airports, impacting 8.7 million customers, most exposed only email addresses. FulcrumSec claims it stole about 86GB via airport-specific Iterable API credentials exposed in client-side JavaScript, including a 21.5GB Manchester export with booking histories, marketing data and nearly 200,000 records on upcoming 2026 travel. BleepingComputer verified sample records against a real traveler's Fast Track history; MAG declined to address the group's specific claims. Researchers warn the combination of UK postcodes, vehicle registrations and booking details could enable convincing targeted phishing, and MAG says no payment card or banking data was exposed.

Security Affairs · 16d agoData breach in the wild

Hackers Use Claude AI Agents to Automate Cyberattacks, Develop 0-Days and Evade Detection

Anthropic reports state-sponsored and criminal actors used Claude AI agents to automate attacks, discover zero-days, and rewrite malware to evade detection.

Anthropic Threat Intelligence's report covering December 2025 to August 2026 details AI-automated campaigns by espionage groups, criminals, and hacktivists. GTG-20006, aligned with Russia-linked Midnight Blizzard, targeted Ukrainian and European government and drone supply chains, used Claude to autonomously rebuild malware when detected, hijacked hotel Wi-Fi DNS to serve ClickFix lures, and stole over 300,000 identity records from a North African government. Operators linked to ShinyHunters decompiled roughly 1.8 million Android packages for hardcoded secrets and pivoted from an XSS flaw in a SaaS vendor into 200+ downstream organizations in about 34 hours, harvesting 2,100+ Azure AD token sets across 40 tenants. The Chinese-linked GTG-10007 ran parallel agent swarms that surfaced more than a dozen candidate zero-day vulnerabilities in a single month.

Cyber Security Newsupdated · 4d agofirst · 5d agoAI safety & security in the wild 15 sources1

Cognition launches new SWE-2 model, Rivaling Fable 5.1 and GPT-Astra

Cognition released SWE-2, a coding model post-trained from Kimi K3 that scores 50.0% on FrontierCode 1.1 Main, near Fable 5.1 at 64% lower cost.

Cognition introduced SWE-2, its most advanced coding model, post-trained from the 2.8T-parameter Kimi K3 base model. It achieves 50.0% on FrontierCode 1.1 Main, 73.0% on DeepSWE 1.1, and 92.8% on Terminal-Bench 2.1, beating Grok 4.6 and SWE-1.7 while matching Fable 5.1 and GPT-5.6 Sol at a fraction of the price. The company says it scaled reinforcement learning to the multi-trillion-parameter regime for the first time, using Pareto-informed cost penalties that train all reasoning-effort levels in a single run, tripled RL environments, and NVFP4/FP8 quantization-aware training. SWE-2 is available today in Devin Desktop and CLI, with rollout on Devin Web and Fusion.

Hacker News · AIupdated · 3d agofirst · 5d agoModel release 10 sourcesHN 58↑ · 15 comments1

MapLibre Vulnerability Exposes 2.7M Users to Zero-Click Attacks

Critical XSS CVE-2026-85061 in MapLibre GL JS enables zero-click attacks on an estimated 2.7 million users; fixed in maplibre-gl 6.4.1.

A flaw in MapLibre GL JS's DOM.sanitize() iterates a live NamedNodeMap while removing attributes, skipping malicious attributes placed adjacent to removed ones, letting event handlers like onload and ontoggle survive and execute via innerHTML in the attribution control. Tracked as CVE-2026-85061 and GHSA-jrc7-96c5-q579, the flaw affects maplibre-gl versions 6.4.0 and earlier, is rated critical under CVSS v3.1 (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:N), and requires no user interaction, privileges, or authentication. Exploitation could enable session theft, unauthorized actions, phishing redirects, or map content manipulation; the patch in 6.4.1 snapshots attributes with Array.from before iterating.

Cyber Security News · 6d agoVulnerability 2 sourcesCVE-2026-85061

Risky Bulletin: Russia tells data centers to deploy drone defenses

Russia ordered data center operators to deploy drone strike defenses under a Putin decree allowing temporary state takeover of unprotected critical infrastructure.

The Russian government instructed data center operators to deploy protections against drone strikes under a presidential decree signed by Putin that allows temporary state administration of critical infrastructure operators failing to defend against Ukrainian hacks and drone strikes. Although data centers are not formally critical infrastructure in Russia, the decree applies to them because other sectors depend heavily on cloud services; Russia has more than 180 data centers, over 80% in the European region within range of Ukrainian strikes. The digest also reports a Dropbox breach affecting nearly 5,000 accounts via the Lenovo ID integration, spyware attacks on at least 14 Serbians using NoviSpy or Pegasus, and a password recovery attack targeting hundreds of thousands of X accounts tied to the new X Money service. Other items include a 14-hour compromise of Coder's Cloudflare infrastructure delivering malicious Terraform modules, donor data breaches at Davayte and You Are Not Alone via the Stripe/WooCommerce integration, a $2.5M Aquifer crypto heist, and a TVING breach exposing data of almost 40 million accounts.

Risky Business News · 12d agoPolicy & legal

Introducing Gemini 3.8 Flash and 3.8 Flash Cyber

Google DeepMind releases Gemini 3.8 Flash and 3.8 Flash Cyber with improved reasoning, coding, and cybersecurity vulnerability detection and automated patching.

Google DeepMind introduced Gemini 3.8 Flash, its strongest reasoning and coding model, priced at $0.75 per million input and $3.75 per million output tokens, alongside Gemini 3.8 Flash Cyber, a cybersecurity-specialized variant offered to trusted defenders via the Fairwind Program. The Cyber variant shows frontier-level autonomous vulnerability discovery on CyberGym, exceeds 70% success on an internal benchmark spanning 20 programming languages, and scores 47.2% pass@1 on the CWE-Bench patching benchmark. Google reports it produced 2.6x more correct Chrome vulnerability patches than larger commercial models and found a critical foundational bug in under 2 hours.

Google DeepMind · 13d agoModel release