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Extradited Russian Hacker Faces Charges Over Excel Malware Campaign That Infected Thousands

US DoJ charged extradited Russian Searzhudin Aktulaev for a 2016-2017 Excel macro campaign infecting ~80,000 freelance platform users with TVRAT and DarkVNC.

Searzhudin Tamirlanovich Aktulaev, 40, was arrested in Cyprus in May 2025 and extradited to the US on August 28, facing charges including wire fraud conspiracy and aggravated identity theft. The indictment alleges ~255 fake freelance-platform accounts were used to send Excel macro attachments to about 80,000 users in 2016-2017, deploying TVRAT (TeamSpy/TVSPY) and DarkVNC RATs for remote access and data theft. Thousands of infected machines called back to a US-hosted C2 domain, with stolen credentials and PII stored in the shared email account used in the scheme.

The Hacker News · 14d agoPolicy & legal

Russian national facing 20 years for malware campaign that infected 80,000 freelancers

US prosecutors indicted Russian national Searzhudin Aktulaev for a 2016 TVRAT malware campaign that infected 80,000 freelance platform users, carrying up to 20 years.

Searzhudin Tamirlanovich Aktulaev was arrested in Cyprus in May 2025, extradited to the US, and appeared in a San Francisco federal court on charges including conspiracy, aggravated identity theft, and damaging protected computers. Between June 2016 and November 2017 he spread a TVRAT (TVSPY/TeamSpy) variant via malicious Microsoft Excel attachments sent from 255 fake accounts on a freelance employment platform's messaging system, infecting about 80,000 users. TVRAT exploited a TeamViewer vulnerability and DarkVNC exploited a bug in VNC Viewer to take over devices; he used the access to steal data and commit fraud, maintained C2 domains, and stored stolen e-commerce credentials for hundreds of victims. About half the victims were in the US, mostly California; the charges carry a maximum 20-year sentence and his next hearing is October 5.

The Record · 13d agoPolicy & legal

Russian man indicted for spreading malware to 80,000 freelancers

US prosecutors indicted a Russian national for infecting roughly 80,000 freelancers with TVRAT and DarkVNC malware via fake freelance-platform accounts.

Searzhudin Tamirlanovich Aktulaev, 40, was indicted in California for conspiracy, transmission of malicious code, and aggravated identity theft; he was arrested in Cyprus in May 2025 and extradited in August 2026. From June 2016 to November 2017, about 255 fake accounts on a Northern California freelance platform messaged roughly 80,000 users with malicious Excel attachments that ran macros to download malware. The campaign deployed TVRAT (also known as TeamSpy), which exploited a TeamViewer flaw, and DarkVNC via VNC Viewer, exfiltrating stolen data to US-hosted command-and-control servers. About half the victims were in the US, and stolen credentials were used for fraud.

Help Net Security · 13d agoPolicy & legal in the wild

Two Alleged ‘TeamPCP’ Hackers Arrested in Australia

Australian Federal Police arrested two alleged TeamPCP members, a data extortion group tied to prolonged software supply chain attacks.

The Australian Federal Police arrested two unnamed suspects from Western Australia, aged 21 and 23, believed to be members of TeamPCP. The group is described as a cybercrime and data extortion syndicate blamed for the longest-running spree of software supply chain attacks, allegedly creating malicious open-source software that hit thousands of global businesses. KrebsOnSecurity had identified the 21-year-old suspect in June and had been in contact with him.

Krebs on Security · 20d agoPolicy & legal

Russian Man Extradited Over Malware Campaign Targeting Freelancers

A Russian national was extradited to the US for allegedly spreading TVRAT and DarkVNC malware to 80,000 freelance platform users via Excel attachments.

Searzhudin Tamirlanovich Aktulaev, 40, was arrested in Cyprus in May 2025, extradited on August 28, 2026, and indicted on conspiracy, computer damage, unauthorized access and aggravated identity theft charges. Prosecutors say he and co-conspirators used about 255 fake accounts on a freelance employment platform's messaging system to send macro-laden Excel attachments between June 2016 and November 2017, deploying TVRAT (TVSPY/TeamSpy) and DarkVNC remote access trojans. Thousands of victims were identified on a US-hosted C2 domain, with roughly half of the 80,000 affected users in the US; C2 infrastructure was paid for with virtual currency. If convicted he faces up to 20 years for wire fraud conspiracy plus additional terms and fines.

Infosecurity Magazine · 14d agoPolicy & legal in the wild1

The best human hacking team still out-solved the best AI team

Hack The Box 2026 benchmark data shows AI agents helped top teams but human-only teams still solved everything while best AI teams stalled at 32 of 36 challenges.

At the 2026 Global Cyber Skills Benchmark (Project Nightfall) run by Hack The Box, 93 designated AI agent accounts across 54 teams held 2.7% of registered accounts but produced 4.2% of submitted flags and 4.6% of awarded points, and appeared in 17 of the Top 25 finishers. Median solve time dropped from 26 hours in 2024 to 13.8 hours in 2026, though the data cannot attribute the change to AI. At the November 2025 NeuroGrid CTF, AI-augmented teams solved challenges 3.2x faster overall but only 1.69x among the Top 5%, and the only team to complete all 36 challenges was human, while the best AI team stopped at 32.

Help Net Security · 20d agoResearch

Guiding Worker Self-Selection in Crowdsourcing Contests: An LLM-Augmented Algorithmic Approach

Researchers introduce GRAF, a greedy framework for crowdsourcing contest self-selection, and LLMScore, an LLM-driven method that auto-designs its scoring algorithm.

The paper studies self-selection in Tullock contests (SSTC), where workers choose contests and then compete within them. GRAF is a greedy polynomial-time framework that orders workers by a score vector with zero worker regret and platform optimality guarantees in special cases. LLMScore is an LLM-driven evolutionary framework that produces human-readable, inspectable scoring code, jointly optimizing platform utility and worker satisfaction. Across 1,000 synthetic instances in four settings, GRAF with LLMScore achieves high-quality, often near-optimal outcomes with low worker regret, transferring from small training instances to larger, structurally different settings.

arXiv cs.AI / cs.LG / cs.CL · 9d agoAI research1

Two alleged TeamPCP hackers arrested over global supply chain attacks

AFP and FBI arrested two alleged TeamPCP hackers behind open-source supply chain attacks that stole 500,000+ credentials from 1,000+ organizations.

Australian Federal Police, working with the FBI and Western Australia Police, arrested a 21-year-old from Cottesloe and a 23-year-old from Mandurah on August 26, 2026, over alleged membership in the TeamPCP cybercrime group. The group allegedly planted malicious code in open-source packages, harvesting credentials, authentication tokens and at least 300 GB of data from over 1,000 organizations, with remediation costs estimated in the hundreds of millions of dollars. TeamPCP has been linked to supply chain attacks on GitHub, Telnyx, LiteLLM, Aqua Trivy, Checkmarx KICS, TanStack, MistralAI and Red Hat using a cloned self-replicating worm dubbed Shai-Hulud. Researchers note TeamPCP cloned the Shai-Hulud worm but was not behind the original 2025 attacks.

Help Net Security · 20d agoThreat actor

Risky Bulletin: Two TeamPCP members arrested in Australia

Australian Federal Police arrested two alleged TeamPCP members behind supply-chain worm attacks that stole over 500,000 credentials from compromised open-source libraries.

The AFP arrested alleged TeamPCP leader Ruben Thomson, 21, and Louis Gaebler, 23, near Perth; both were charged and remain in custody. The group inserted a self-spreading credential-stealing worm into open-source projects including Trivy, KICS, LiteLLM, and Telnyx, harvesting more than 500,000 credentials used for network access, ransomware, extortion, and sales. About 78,000 tokens and secrets from nearly 2,200 organizations leaked online last month, and the FBI supported the investigation that began in April.

Risky Business News · 19d agoPolicy & legal in the wild1

Australian cops cuff alleged TeamPCP masterminds

Australian police, with FBI assistance, arrested the alleged masterminds behind the Shai-Hulud worm and related supply chain attacks.

Australian law enforcement, working with the FBI, arrested suspects alleged to be the masterminds behind the Shai-Hulud worm and other software supply chain attacks. The group is referred to as TeamPCP. The report did not specify charges, the number of suspects arrested, or affected victims.

The Register · Security · 19d agoPolicy & legal

Occamy-1.0: Open Pareto-frontier 35B Intelligence for Co-work

Occamy-1.0 releases open 35B weights post-trained from Qwen3.6-35B-A3B, targeting cost-efficient co-work agents at Pareto-frontier pricing.

Occamy-1.0 is a cost-efficient co-work agent model built by further training the post-trained Qwen3.6-35B-A3B checkpoint, using execution-grounded data, replayable long-horizon trajectories across multiple harnesses, and staged post-training. It consistently ranks among the strongest comparably sized models across co-work benchmarks and remains competitive with substantially larger frontier systems on several tasks. Its aggregate performance across four representative benchmarks places it at the low-cost knee of the observed cost-performance Pareto frontier, while preserving tool calling, coding, and instruction following capability. The model weights and a subset of training data are publicly released.

Hugging Face daily papers · 12d agoModel release

Two Arrests, One Supply-Chain Attack, and a Lot of Stolen Credentials

AFP charges two men over TeamPCP open-source supply-chain attacks that stole 500,000+ credentials from 1,000+ organizations via four malware families.

Australian police charged two Western Australian men as principal participants in TeamPCP, which allegedly inserted malicious code into open-source software to steal credentials and sensitive data from government, academia, and private sector organizations worldwide. The campaign compromised more than 1,000 organizations, harvested over 500,000 credentials, and exfiltrated at least 300 GB of data, with remediation costs in the hundreds of millions of dollars. Four malware families were deployed: CanisterWorm (cloud token harvesting), SANDCLOCK (AWS and Kubernetes credential theft), Mini Shai-Hulud (self-replicating npm/PyPI worm), and Miasma (credential-harvesting worm variant). Trojanized tools included Trivy, KICS, LiteLLM, and the Telnyx Python SDK, with exfiltration via GitHub repositories tpcp-docs and docs-tpcp.

Security Affairs · 20d agoThreat actor in the wild1

TWINLOOT Abuses SharePoint and Teams to Steal Credentials and Move Across Networks

Ontinue disclosed TWINLOOT, a Python implant hiding C2 in SharePoint dead drops and Teams TURN relays, harvesting credentials and pivoting via reverse SOCKS5.

Ontinue's Cyber Defense Center identified TWINLOOT during a July 2026 campaign investigation: a modular, PyArmor-hardened Python implant (a 39 MB bootstrap-fat.pyc loader) whose entire C2 infrastructure lives inside trusted Microsoft services. Tasking flows through SharePoint Online file dead drops polled every 15 seconds via the Microsoft Graph API, while interactive operator access uses WebRTC DataChannels relayed by Microsoft Teams TURN servers; Graph traffic is driven by the victim's own headless Edge browser. The implant harvests Windows credentials with fake lock screens, offers a reverse SOCKS5 pivot for lateral movement to SMB, RDP, WinRM, and MSSQL, executes commands, and persists on hosts. Initial access is assessed to be Teams social engineering masquerading as IT support, prompting a PowerShell command to download the payload.

The Hacker News · 29d agoMalware

Spring Ring: An Inside Look at Voice Phishing Campaigns in Microsoft Teams

Unit 42 details the Spring Ring voice phishing campaign abusing Microsoft Teams to deploy malware and target enterprise domain controllers.

Palo Alto Networks Unit 42 analyzed the Spring Ring campaign, which abuses Microsoft Teams and voice phishing (vishing) to compromise enterprise users. Attackers use Teams calls to social-engineer victims, then deploy malware and advance toward enterprise domain controllers. The report documents the campaign's tactics and provides detection guidance for defenders.

Palo Alto Unit 42 · 16d agoPhishing & fraud in the wild

Threat Gang 'Springs' Vishing Attacks on Microsoft Teams Users

The 'Spring Ring' operation uses vishing attacks against Microsoft Teams users to hijack sessions, deploy malware, and take over infrastructure.

Dark Reading reports on the Spring Ring threat gang conducting voice-phishing (vishing) attacks against users of Microsoft Teams. The operation aims to compromise collaboration-suite accounts to gain remote access to victim sessions, distribute malware, and potentially seize control of infrastructure. Further technical details were not provided in the available text.

Dark Reading · 14d agoPhishing & fraud1

Authorities arrest 2 alleged members of prolific hacking group TeamPCP

Authorities arrested two alleged TeamPCP members whose hacking group infected over 1,000 organizations via supply-chain attack campaigns.

Law enforcement arrested two individuals suspected of membership in TeamPCP, a prolific hacking group. According to Ars Technica, the group infected more than 1,000 organizations through a relentless supply-chain attack campaign. The arrests mark a notable step in efforts to disrupt the group's operations.

Ars Technica · Security · 19d agoPolicy & legal in the wild

Australian police arrest two over TeamPCP hacks targeting Mercor, OpenAI, and others

Australian police arrested two suspects over TeamPCP cyberattacks targeting Mercor, OpenAI, and other tech companies.

Australian police have arrested two people in connection with the TeamPCP hacks. The arrests follow a wave of cyberattacks earlier in the year that targeted tech companies including Mercor and OpenAI, many of which rely on high-profile, widely used open source software. The article provides no technical details or CVE identifiers.

TechCrunch · Security · 20d agoPolicy & legal in the wild

Critical Security Issue Affecting TeamCity On-Premises (CVE-2026-63077 ...

JetBrains fixed critical unauthenticated RCE CVE-2026-63077 in TeamCity On-Premises; update to 2025.11.7 or 2026.1.3.

JetBrains disclosed CVE-2026-63077, a critical unauthenticated remote code execution vulnerability affecting all TeamCity On-Premises versions. An attacker with HTTP(S) access can bypass authentication checks via the TeamCity agent polling protocol and execute arbitrary operating system commands with the privileges of the server process. Fixes are available in versions 2025.11.7 and 2026.1.3, plus a security patch plugin for TeamCity 2017.1+. JetBrains states there is no evidence of active exploitation at disclosure time, and TeamCity Cloud is already mitigated.

Web discovery (articles for new exploits & KEV entries) · 7d agoVulnerabilityCVE-2026-63077

Australia Warns of Active Exploitation of Critical TeamCity Server Flaw

Australian officials warn of active exploitation of a critical JetBrains TeamCity flaw and urge customers to patch immediately.

Australian authorities warn that a critical vulnerability in JetBrains TeamCity is being actively exploited and urge customers to apply patches. The alert follows a similar warning from the US government. TeamCity is a widely deployed CI/CD server whose past flaws have been leveraged in large-scale exploitation campaigns.

Infosecurity Magazine · 22d agoExploit / PoC in the wild

Coding Agents Have Converged: Why the SWE-bench Leaderboard Can No Longer Order Its Top Entries, and What to Measure Instead

Audit of 254 SWE-bench submissions finds top coding-agent entries statistically inseparable, so small leaderboard gaps no longer establish rank.

The paper audits 254 SWE-bench submissions across four splits without running models. On Verified, the top two entries each resolve 396 of 500 instances, and exact paired McNemar tests separate none of the 29 adjacent top-thirty pairs at alpha=0.05. Within-model scaffold score ranges reach 29.8 percentage points, versus an 8.8-point spread among the top thirty. The authors release a five-step audit protocol and recommend reporting comparison-set-specific resolution and model-scaffold provenance.

arXiv cs.AI / cs.LG / cs.CL · 1d agoAI research

Scalability Analysis of Distributed Kolmogorov-Arnold Network Training on High-Performance Computing Systems

An empirical study shows distributed Kolmogorov-Arnold Network training reaches 74.7% parallel efficiency at 8 A100 GPUs, with overheads driven by All-Reduce choices.

The study evaluates data-parallel Kolmogorov-Arnold Network (KAN) training on the FinisTerrae III supercomputer using up to 8 NVIDIA A100 GPUs across 4 nodes with PyTorch Distributed Data Parallel. Strong scaling yields 5.97x speedup and 74.7% parallel efficiency at 8 GPUs, comparable to conventional deep learning workloads, while communication overhead ranges from 1.3% to 6.1%, driven mainly by All-Reduce algorithm selection and inter-node latency rather than KAN's edge-wise gradient structure. Weak scaling shows an initial single-to-multi-GPU throughput drop followed by stability, and the parameter-to-memory ratio improves with model size even as training time scales unfavorably. The authors provide GPU topology and model-size deployment guidelines for KAN training.

arXiv cs.AI / cs.LG / cs.CL · 9d agoAI research1

ScienceBuddy: Recursive-in-Recursive Self-Improvement for Interactive Scientific Agents

ScienceBuddy released: interactive scientific agent workspace coupling harness evolution with model reinforcement learning for continual self-improvement across four scientific task families.

ScienceBuddy is an interactive scientific research workspace that turns researcher requests, feedback, and execution evidence into tasks and evaluation rubrics for continual learning. Its recursive-in-recursive self-improvement paradigm couples harness evolution with the model fixed (inner recursion) and model reinforcement learning under the improved harness (outer recursion). Case studies span four scientific task families covering researcher interaction, harness refinement, and model learning. The system is released as a research product at science-buddy.io.

Hugging Face daily papersupdated · 1d agofirst · 1d agoAI research 2 sources

ModularRSI: Modular and Generalizable Recursive Harness Self-Improvement

Researchers propose ModularRSI, a modular benchmark-disjoint recursive self-improvement framework that evolves agent harnesses across five modules, improving TB2.0 and SWE-Bench Verified results.

ModularRSI targets generalizable recursive self-improvement (RSI) for agent harnesses by contrasting successful and failed trajectories for the same task and aggregating evidence across tasks to find recurring behavioral deficiencies. It decomposes the evolvable harness into five modules—Agent Loop, Tool Use, Observation Management, Context Management, and Task Completion Detection—each evolved independently within a restricted scope, then integrated with conflict resolution. Using 2,000 executable evolution tasks disjoint from evaluation benchmarks, it shows consistent gains on TB2.0 and SWE-Bench Verified and transfers across different foundation models.

Hugging Face daily papers · 2d agoAI research

Procedural Graphs: Self-Evolving Execution Structures for LLM Agents

Researchers introduce Procedural Graphs, self-evolving (procedure, relation, procedure) structures guiding LLM agent tool use and planning.

Procedural Graphs organize procedural knowledge into (procedure, relation, procedure) triplets to guide LLM agent actions, addressing drift such as lost objectives, out-of-order tool calls, and repeated unproductive steps. At each decision step the framework localizes the active node and a guidance model translates the surrounding subgraph into step-level situational guidance. An LLM refiner edits graph topology by contrasting failed with successful trajectories, and across datasets, task types and LLMs the approach outperforms memory-based baselines and matches or surpasses hand-designed graphs.

arXiv cs.AI / cs.LG / cs.CL · 8d agoAI research1

Graph Machine: Towards Better Pretraining via Edges

Researchers propose Graph Machine, an O(n)-state sparse architecture that replaces 75% of Qwen3-0.6B dense layers with only slight loss change.

The paper introduces the Graph Machine (GM), an architecture that maintains an O(n)-sized state accessed through sparse, dynamic routing via pointer-like edges updated differentiably by a referral mechanism resembling pointer chasing. The authors replaced 75% of dense Transformer layers in Qwen3-0.6B with GM sparse layers and pretrained from scratch on 15.7B tokens. Retrieving 2 of 4,096 tokens per KV head in each sparse layer degrades loss only slightly, while retrieving 4 marginally improves loss over the dense baseline.

Hugging Face daily papers · 14d agoAI research

FlashVector: Agent for Hierarchical Model Serving Stack Optimization

FlashVector agent optimizes all layers of Unity's ad-serving stack, delivering up to 2x model-server throughput and 1.98x latency speedup in production.

FlashVector is an agentic system that optimizes performance across GPU kernels, ML framework computation graphs, model servers, and on-demand feature processing. Deployed in Unity's Vector advertising platform, it achieved up to 2x model-server throughput increase, 1.98x latency speedup, and 1.6x feature-store throughput gain. Optimizations spanned NVIDIA Triton's C++ codebase and the Python feature transformation service, demonstrating extensibility beyond single-kernel tuning.

arXiv cs.AI / cs.LG / cs.CL · 1d agoAI research

Two alleged TeamPCP members arrested and charged after months of software supply

Australian Federal Police, with FBI support, arrested two alleged TeamPCP members behind supply-chain attacks that compromised over 1,000 organizations.

The AFP charged two Western Australian men, identified by media as Ruben Ian Thomson (21) and Louis Michael Gaebler (23), with 14 combined offences including unauthorized data modification and dealing in criminal proceeds. TeamPCP is blamed for poisoning open-source software releases including Trivy, LiteLLM, and the mini Shai-Hulud worm campaign, exposing over 500,000 credentials and at least 300 GB of data. Victims included the European Commission and GitHub, with remediation costs estimated in the hundreds of millions of dollars. Researchers from Flare traced one suspect through leaked passwords, a GitHub alias, and a Steam profile.

CyberScoop · 20d agoPolicy & legal1

MaxKernel: Agentic Kernel Generation for TPUs

Researchers open-source MaxKernel, a multi-agent LLM system that generates and optimizes TPU kernels matching expert hand-tuned baselines on JaxBench.

MaxKernel is a multi-agent system offering three paradigms for TPU kernel development: human-in-the-loop collaborative design, a fully autonomous metric/trace-driven optimization loop, and graph-based autonomous search for global exploration. All paradigms draw on a shared pool of specialized sub-agents for planning, implementation, self-debugging, testing, and hardware profiling. Evaluated on JaxBench's 50 diverse TPU kernel tasks and real-world workloads from open-source models, it consistently matches expert hand-tuned baselines. The system is open-sourced via the AI-Hypercomputer GitHub repository.

Hugging Face daily papers · 13d agoAI tools & infra

IBIB: A Protocol for Measuring Enterprise AI Systems by Serving Route, Not Model Identifier

IB2 protocol scores enterprise AI systems by serving route with reliability-inclusive scoring; serving-arm choice moved one score from 77.38 to 82.54.

The protocol has three parts: a gold-blind capability-binding preflight verifying a route can execute the evaluation contract, a reliability-inclusive first-pass scoring rule, and structurally score-blind adjudication. Its reference instantiation uses 128 locked tasks and 987 assertions over document, spreadsheet, chart, tool, and database work, released as procedure and schemas rather than an exposed corpus. Across eleven systems, two complete runs on identical weights later failed distinct binding-gate predicates, four of seven suites saturate within a six-system band driven by governed database work and multi-tab joins, and excluding failed responses from denominators changes the point ordering. Serving-arm choice shifted one declared revision and precision from 77.38 to 82.54, though arms differed in access mode, harness generation, and the tool-call parser.

arXiv cs.AI / cs.LG / cs.CL · 7d agoAI research1