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The Coding-Agent Trap: When a "Free" LLM Endpoint Is the Adversary, (Mon, Aug 31st)

A SANS honeypot caught a real coding-agent session routed to a rogue "free" LLM endpoint, exposing a Windows user's transcript and tool outputs.

A SANS analyst describes how an internet-exposed inference honeypot was discovered, relabeled with sought-after model names like DeepSeek, and enrolled in infrastructure serving "free" LLM backends. On 2026-08-30 an opencode terminal coding agent sent an 88-message, 224 KB transcript 210 times in 91 seconds via a China Unicom relay, exposing directory listings, tool outputs and read file portions. The analyst frames tool-enabled agents treating model endpoints as trusted control planes as a novel risk — a "rogue model endpoint" that could request tool executions on the user's machine.

SANS Internet Storm Center · 16d agoAI safety & security1

Product showcase: AI Paper Trail shows the privacy cost of talking to AI

Proton launched AI Paper Trail, a free tool that analyzes ChatGPT or Claude exports and reports what personal data can be inferred from AI conversations.

Proton released AI Paper Trail, a free web tool that analyzes the 200 most recent prompts from exported ChatGPT or Claude conversation histories and generates a privacy report with an AI Exposure Score, inferred personal data categories, and an estimated advertising value. In a hands-on test it identified 47 data points, returned a 58/100 exposure score, estimated $185 in advertising value, and flagged five red flags spanning location, interests, finances, and relationships. Proton states that uploaded data is deleted after analysis and is not stored on its Lumo servers.

Help Net Security · 23d agoAI industry

Keepnet launches free SMS/Call Reporter for iOS

Keepnet launched a free iOS app, SMS/Call Reporter, letting users one-tap report smishing and vishing into corporate incident response pipelines.

Keepnet released the free SMS/Call Reporter app for iOS, letting users report suspicious SMS and voice phishing with one tap. For enterprise customers, reports flow into Keepnet Incident Responder alongside email phishing reports. The company cites Verizon 2026 DBIR data showing mobile phishing simulations achieve a 40% higher median click rate than email, and FBI IC3 2025 counted $798 million in smishing and vishing losses. An Android version is planned.

Help Net Security · 14d agoTools

One Editor, Many Edits: A Unified Training-Free Framework for Diverse Video Editing

Researchers introduce EditVid, a training-free video editing framework scoring 78.16 FiVE-Acc versus 58.95 for the strongest comparable baseline.

EditVid is a unified training-free framework for diverse instruction-guided and subject-guided video editing. It combines sparse causal memory for local coherence, correspondence-based post-attention token injection for long-range identity preservation, and soft latent blending for edit locality. On the FiVE benchmark it reaches 78.16 FiVE-Acc against 58.95 for the strongest evaluated training-free baseline, with competitive results on IVEBench. A user study showed 51.8% overall preference for EditVid over 7 competing methods.

Hugging Face daily papers · 14d agoAI research

ZDI-26-660: Adobe Acrobat Reader DC Font Parsing Use-After-Free Information Disclosure Vulnerability

ZDI discloses CVE-2026-80162, a font-parsing use-after-free in Adobe Acrobat Reader DC enabling limited sensitive information disclosure with CVSS 3.3.

The Zero Day Initiative published ZDI-26-660 covering a use-after-free vulnerability in Adobe Acrobat Reader DC's font parsing. Successful exploitation allows disclosure of sensitive information and requires user interaction, such as opening a malicious file or visiting a malicious page. ZDI rated the issue CVSS 3.3 and tracked it as CVE-2026-80162.

Replit expands access to software creation with GPT-5.6 Luna

Replit launches Free Mode powered by GPT-5.6 Luna, letting users build software without token costs.

Replit introduced Free Mode, powered by OpenAI's GPT-5.6 Luna model, expanding access to software creation. The offering lets anyone turn ideas into working software without worrying about token costs. The announcement came from OpenAI's news page, indicating a partnership between the two companies.

OpenAI News · 28d agoAI industry1

Meta Patents AI Glasses to Use Facial Recognition to Identify People, Make Highlight Reels of Your Dinner Party

Meta filed a patent for AI glasses that identify people via facial recognition and auto-generate highlight reels of events like dinner parties.

A newly published Meta patent describes smartglasses that use facial recognition to detect people in frame, capture video clips of their actions, and compile highlight reels. The filing signals Meta's continued, controversial push to combine facial recognition with its AI glasses line. The patent was published Thursday and offers granular detail on Meta's product plans, though it does not confirm a shipping feature.

404 Media · Aug 14, 2026AI industry

Training a coding model to paint watercolours with TRL and OpenEnv

Hugging Face tutorial trains a coding model with TRL and OpenEnv to paint watercolours through generated code.

A Hugging Face blog walkthrough uses the TRL reinforcement learning library and the OpenEnv environment framework to train a coding model. The target task is generating code that produces watercolour-style drawings, serving as a hands-on reinforcement learning training example. No article body was available in the feed, so specifics are limited to the title.

Hugging Face Blog · 13d agoAI tools & infra1

Free ChatGPT users get ads picked from whatever they just asked about

OpenAI will serve ads to ChatGPT Free and Go users based on conversation topics, location and device, with personalized targeting behind opt-in.

OpenAI will begin showing ads in ChatGPT for Free and Go plan users, selected from the current conversation topic plus general location and device type. Personalized ad targeting using in-product activity and conversation context will only start after an explicit opt-in, with a setting to manage the choice afterward. Plus, Pro, Enterprise, Business and Education subscribers remain ad-free, and OpenAI states that chats, chat history, memories and personal details are not shared with advertisers. A privacy policy update will document the ad labels, controls and performance reporting.

Help Net Security · 16d agoAI industry

CVE-2026-87464: RCE outside sandbox in Chromium prior to 153.0.8010.36

CVE-2026-87464 is a critical use-after-free in Chrome's WebGL allowing sandbox-escaping RCE via crafted HTML pages, fixed in 153.0.8010.36.

Google Chrome prior to 153.0.8010.36 contains a use-after-free in WebGL that allows a remote attacker to execute arbitrary code outside the sandbox via a crafted HTML page. Google rates it as Chromium security severity Critical, though tracker details are restricted. Debian indicates all current Chromium packages are affected, and the flaw likely impacts Chromium-derived browsers. No active exploitation is mentioned in the disclosure.

oss-security · 6d agoVulnerabilityCVE-2026-87464

PrivAudit: A Dual-Lens Auditing Framework for Website Privacy Practices under the CCPA

PrivAudit framework audits 998 websites for CCPA compliance, finding stronger disclosures but pervasive, weakly responsive third-party cookie tracking.

PrivAudit is an automated dual-lens auditing framework combining LLM-based analysis of privacy policies grounded in CCPA provisions with automated browser measurements of cookie writes under diverse privacy configurations. Applied to 998 websites, it finds CCPA-subject sites disclose opt-outs, data sharing, and user rights more frequently, yet tracking remains pervasive: 6,392 targeting cookies, 49% third-party writes. Cookies show limited-to-moderate responsiveness to privacy signals and consent choices even when sites claim to honor them. The framework is open-sourced and shared with regulators.

arXiv cs.CR · 7d agoResearch

Top 10 Best Enterprise Browsers in 2026

2026 enterprise browser guide ranks Island first and notes Mammoth Cyber's wind-down plus corrections to standard vendor shortlists.

An editorial guide assesses ten enterprise browser options, ranking category creator Island first for last-mile DLP and BYOD controls, followed by Palo Alto's Talon browser as a Prisma Access/SASE surface and Google Chrome Enterprise Premium for DLP on already-deployed browsers. It corrects common lists, noting SlashNext is browser-adjacent phishing and BEC defense rather than a managed browser, and that Mammoth Cyber has wound down independent operations. Microsoft Edge for Business is positioned as effectively free policy depth for Microsoft 365 estates, with Menlo Security offering an isolation-plus-browser blend.

Cyber Security News · 5d agoIndustry1

Coop – Isolated VM Environments for Running Claude Code and Codex

Trail of Bits releases Coop, running Claude Code and OpenAI Codex agents inside isolated virtual machines for safer agentic coding.

Coop, published on GitHub by security firm Trail of Bits, provides isolated VM environments for executing AI coding agents such as Claude Code and Codex. Isolation contains the filesystem and network side effects of autonomous agent actions, reducing risk from unsupervised tool use. The project drew 61 points and 16 comments on Hacker News.

Helping older adults use AI in everyday life

OpenAI and AARP's OATS launch the Older Adults AI Skills Jam, a free program teaching seniors to use ChatGPT and spot scams.

OpenAI Academy, with Older Adults Technology Services (OATS) from AARP, is hosting in-person AI Skills Jam events in 10 US communities as part of a multi-year Senior Planet program. OpenAI says the share of US ChatGPT messages from people 55+ grew from 6% to nearly 10% in a year. The workshops include scam-awareness training, teaching warning signs like urgent language and suspicious links, and note that users ask ChatGPT tens of millions of times weekly to evaluate suspicious messages.

OpenAI News · 7h agoAI industry

LexFlip: A Dissociation Diagnostic for Legal Meaning Preservation Metrics

LexFlip releases 373 minimal perturbations of Quebec statutory French that reverse legal force while preserving tokens, exposing weaknesses in embedding-based meaning preservation metrics.

LexFlip provides 373 minimal perturbations of Quebec statutory French that reverse legal force while preserving 0.93 of tokens, creating dissociation items that break monotone token-overlap metric validation. The seven embedding and BERTScore metrics tested register only 0.022-0.039 of their identical-to-unrelated range on these edits, versus 0.670 for bidirectional NLI. Against FrJudge, with a measured human ceiling of r=0.597, a bare length feature outscores every semantic metric tested.

arXiv cs.AI / cs.LG / cs.CL · 12d agoAI research

What must happen for AI’s trillion-dollar gamble to pay off

Hyperscalers need 2.7x productivity gains by 2030 to justify nearly $1.1 trillion in AI data center spending, or risk bankruptcy and capital misallocation.

Wharton finance professor Jessica Wachter estimates hyperscaler AI expenditure will reach nearly $1.1 trillion through 2027 and that a 2.7x productivity increase is needed to break even by 2030. AI revenues of roughly $150-200 billion this year fall far short of about $750 billion in annual spending, with total investment from Alphabet, Microsoft, Amazon, Meta, and Oracle potentially exceeding $5 trillion over four years. Alphabet reported its first free cash flow deficit (about $5.9 billion) since its 2004 IPO due to AI infrastructure costs. Researchers warn that failed demand could make the buildout the largest capital misallocation in history, with depreciating GPU chips risking stranded assets.

MIT Technology Review · AI · 1d agoAI industry

Meta bets on AI agent Muse to catch up in AI race

Meta launched Muse, a free personal AI agent in the US that autonomously shops, emails, and plans trips, powered by its in-house Muse Spark model.

Meta unveiled Muse, a consumer personal AI agent that handles tasks like online shopping, emailing, and trip planning, continues working in the background, and requests approval for purchases. It launches in the US on iOS, Android, and muse.ai, is free for most users with unspecified paid tiers, and runs on Meta's in-house Muse Spark model. Muse executes on a cloud virtual machine with a Sentinel agent policing outbound actions, and Meta promises an encrypted confidential VM later this year plus 1Password, Shop Pay, and Stripe Link support. The launch is positioned as the centerpiece of Meta's effort to catch up with OpenAI, Anthropic, and Google.

The Verge · AI · 8d agoAI industry 3 sources1

Muse can shop, write emails, and negotiate prices for users, all through WhatsApp

Meta launched Muse, a WhatsApp-controlled agent running on an isolated VM with a Sentinel gatekeeper, able to shop, email, book travel, and negotiate.

Meta introduced Muse, an autonomous agent controlled through WhatsApp that runs on its own cloud virtual machine, plans multi-step tasks, browses, fills forms, and negotiates on users' behalf. Payments run through Stripe's Link using one-time cards, which Meta calls the first AI agent covered by Link's purchase protection, with Shop Pay and 1Password integration planned. A second agent, Sentinel, gates all Muse network access and holds credentials, and a Muse Confidential VM with user-held encryption keys is planned later this year. Muse's model reportedly scored 44-48 on Artificial Analysis Intelligence Index v4.3, up from 31 for Muse Spark in April, near GPT-5.6 Sol's 47; it launches first in the US on iOS and Android.

The Decoderupdated · 4d agofirst · 6d agoAI industry 10 sources1

Making Knowledge Distillation Cheap Enough to Run at Scale

Hugging Face blog by Multiverse Computing describes techniques making knowledge distillation cheap enough for large-scale training.

A Hugging Face blog post from Multiverse Computing (CAI) presents methods for reducing the cost of knowledge distillation so it can be run at scale. The post is aimed at practitioners compressing large models into smaller, cheaper ones for production use.

Hugging Face Blog · Aug 10, 2026AI research

Microsoft’s September 2026 Patch Tuesday addresses 964 CVEs (CVE-2026-81963, CVE-2026-85880)

Microsoft's September 2026 Patch Tuesday fixes a record 964 CVEs, including two zero-days actively exploited in the wild.

Microsoft patched a record 964 CVEs in its September 2026 Patch Tuesday release, with 101 rated critical and 824 rated important, making it the largest Patch Tuesday to date. The release includes fixes for two zero-days that were exploited in the wild, with CVE-2026-81963 and CVE-2026-85880 highlighted in the release. Affected products span Windows core components, Office, Exchange, .NET, Visual Studio, Active Directory services (including AD CS and AD FS) and numerous Azure services. Tenable notes the release surpasses July's as the biggest ever.

Tenable Blog · 8d agoVulnerability in the wildCVE-2026-81963CVE-2026-858801

Training-Free Speech-Centric Omni Understanding with Frozen VLMs

Audio-visual understanding remains challenging because models must jointly interpret spoken content, visual events, and their temporal relationships. Existing omni models typically introduce dedicated audio encoders and rely on expensive audio-video-text training, tightly coupling omni capability to specific VLM backbones and potentially weakening their existing visual and reasoning abilities.…

Hugging Face daily papers · Aug 6, 2026AI research

Seattle Times and Newsday sue OpenAI and Microsoft for infringement

The Seattle Times and Newsday sued OpenAI and Microsoft for copyright infringement, seeking destruction of datasets and models trained on their journalism.

The Seattle Times and Newsday allege OpenAI used their journalism as training data without permission and that its chatbots reproduce passages of their reporting, seeking destruction of copies of their works, training datasets, and AI models that incorporate them. Microsoft is named as co-defendant because Copilot is built on OpenAI technology. The suit follows similar actions by The New York Times, Ziff Davis, Merriam-Webster, Encyclopedia Britannica, and nearly 400 local newspapers.

The Verge · AI · 9d agoAI policy1

New IoT Malware Uses Public Linux Exploits to Gain Root and Launch DDoS Attacks

Nozomi details KATARU, an IoT botnet that brute-forces Telnet, exploits public Linux kernel flaws for root access, and launches multi-protocol DDoS attacks.

KATARU, discovered after honeypot Telnet brute-force activity from a Vietnamese IP, downloads an ARM payload (vlxx.arm) and attempts privilege escalation by editing /etc/passwd or exploiting CVE-2026-46300 (Fragnesia), CVE-2026-43284 (Dirty Frag), and CVE-2026-31431 (Copy Fail). It combines Mirai-style TCP, UDP, ICMP, HTTP, QUIC and DNS floods with application attacks against Minecraft, FiveM, OpenVPN and WireGuard. The malware uses X25519 and ChaCha20-Poly1305 encrypted C2, unusually broad persistence across systemd, cron, init frameworks, and Android hooks, plus anti-debugging and decoy traffic to hinder analysis. Implementers copied x86 shellcode into the ARM binary and reused an RFC 7748 test-vector key, indicating low-quality but rapidly evolving commodity development.

GBHackersupdated · 5d agofirst · 5d agoMalware in the wild 2 sourcesCVE-2026-46300CVE-2026-43284CVE-2026-31431

HarnessVLN: Unifying Training-Free Embodied Navigation through an Agent Harness

Researchers introduce HarnessVLN, a zero-shot training-free agent harness that sets new training-free SOTA on vision-language navigation benchmarks including R2R and HM3D.

HarnessVLN is a zero-shot, training-free framework for embodied vision-language navigation that coordinates perception, retrieval, grounding, navigation, recovery, and termination through a unified tool interface. It validates planner proposals against spatial evidence, geometric feasibility, and subgoal consistency, using hierarchical event memory and a persistent Spatiotemporal Graph that stores reusable spatial evidence and failure annotations. It reports success rates of 60.8% on R2R, 53.9% on RxR, 76.0% on HM3D-v2, and 59.3% on HM3D-OVON, surpassing prior training-free state of the art, with real-world humanoid deployment demonstrated.

Hugging Face daily papers · 3d agoAI research

Axis Robotics Releases AXIS: A Browser-Based Data Engine With 207 Robot Manipulation Tasks and 50,129 Trajectories

Axis Robotics and academic partners released AXIS, a browser-based teleoperation system yielding 207 manipulation tasks and 50,129 trajectories that lifts pi0.5 to 88.8 on LIBERO-Plus.

A team from Axis Robotics, UC Berkeley, Georgia Tech, and NTU introduced AXIS, a browser-based data engine where contributors teleoperate a simulated Franka Research 3 in a MuJoCo WebAssembly frontend while GPU backends handle task generation, training, and evaluation. The released snapshot holds 207 tasks, 50,129 episodes, and 60K+ task or scene variants from more than 70,000 community contributors. Continual pretraining of pi0.5 on AXIS data raises LIBERO-Plus performance from 83.9 to 88.8, versus 57.5 for a volume-matched RoboCasa365 control; the 2.36 TB dataset is gated for non-commercial academic use.

MarkTechPost · 9d agoAI research

Elevenlabs makes Music v2.5 available via app and API with free and pro tier options

ElevenLabs releases Music v2.5 via app and API, claiming fuller, more natural songs preferred over v2 in blind listening tests.

ElevenLabs launched Music v2.5 for ElevenMusic, reporting that listeners preferred it in a blind test across 47,885 comparison pairs, especially for R&B, Soul, Hip-Hop, Rock, and orchestral tracks. The free tier offers five lossless downloads per day and Pro includes 400 per month, with attribution required on free and commercial use restricted by industry. Tracks based on other artists' songs are blocked, and v2 remains available alongside the API. ElevenLabs says existing Music models were trained on 'licensed stems and music,' distinguishing it from competitor Suno, which faces lawsuits for training on copyrighted content; a Universal Music Group licensing deal covers only future separate products.

The Decoder · 3d agoAI industry

How AI wiped out an entire industry in Nairobi

ChatGPT's rise collapsed Kenya's contract essay-writing industry, which once employed 40,000 people in Nairobi, cutting $40–70-per-paper earnings after 2022.

The New York Times reports that generative AI, primarily ChatGPT, wiped out Kenya's ghostwriting business, which at its peak employed at least 40,000 people in Nairobi writing academic papers for US and UK students. Writers like Teresios Bundi, who produced over 2,500 papers in twelve years, saw prices and orders collapse after ChatGPT's 2022 launch. Related gig work such as transcription, data annotation, and Meta content moderation has also dried up, leaving 'humanizers' who rewrite AI text to evade plagiarism checks. Kenya's government had promoted online gig work since 2016, and roughly 80 percent of the country's jobs are informal.

The Decoder · 9d agoAI industry

Give Your Coding Agents a Memory You Own

Hugging Face introduces Funes, a tool that gives coding agents persistent, self-owned memory outside vendor clouds.

A Hugging Face blog post presents Funes, an approach for giving coding agents a persistent memory that developers own and control. The piece targets agent workflows where context must survive across sessions without ceding data to third-party services. No article body was available in the feed, so specifics beyond the title are limited.

Hugging Face Blog · 13d agoAI tools & infra1

USN-8563-5: nginx vulnerability

Ubuntu ships improved nginx fix for CVE-2026-42533 after earlier patch regression; flaw allows remote crash and possible code execution.

USN-8563-5 provides a better fix for CVE-2026-42533 after the original fix from USN-8563-1 was backed out in USN-8563-2 because it caused a regression. The flaw stems from nginx incorrectly handling certain map directives using regex matching and capture variables, allowing a remote attacker to crash nginx, causing denial of service, or possibly execute arbitrary code. The original advisory also described a use-after-free in the ngx_http_ssi_module when configured with Server-Side Includes, proxy_pass, and proxy buffering.

Privacy Failure in Split-LLM Training, The Returned Gradient Nullifies the Decoys

Researchers show split-LLM training leaks privacy via zero-valued gradients on decoy rows, exposing which activations are real despite passing forward-channel checks.

A systems-security case study of a two-node split-LLM training setup found that the returned output gradient from an Untrusted Cloud Node is exactly zero for decoy rows, revealing which rows are real. Across nine seeds, zero patterns identified real rows in 4,096 of 4,096 frames per run, and an attack on frame contents recovered 0.65 to 1.50 percentage points of extra tokens over a baseline. Both datasets passed forward-channel privacy and quality checks but failed once the returned gradient was included. Row-wise gradient clipping and noise closed the leak for roughly 0.01 nats of held-out cross-entropy, though five unmeasured attack classes remain.

Meta FAIR Introduces AI Research Preference Models (RPMs): Ranking ML Experiments Before Spending GPU Hours

Meta FAIR, Oxford and UCL introduce Research Preference Models that rank unexecuted ML experiments, lifting AIRS-Bench scores from 0.684 to 0.729 and cutting compute ~1.6×.

Researchers from Meta FAIR, Oxford, and UCL introduce Research Preference Models (RPMs), which use frozen pretrained LLMs (Qwen3.6-27B backbone, no fine-tuning) to rank unexecuted experiment candidates and execute only the winner of a pairwise knockout tournament. Two variants shipped: an inference-only LLM-as-a-judge and an agentic variant that runs small pilot experiments in an H200 sandbox. On AIRS-Bench (20 tasks, 24 hours on one H200, 10 seeds), scores rise from 0.684 (random) to 0.711 and 0.729 versus a 0.748 validation oracle, and both variants reach the baseline's 24-hour score in roughly 15 hours. The team reports new SOTA on WinoGrande (94.1% with Agentic RPM) and SVAMP (95.7% with inference-only).

MarkTechPost · 10d agoAI research

Differential Privacy Meets Fixed Parameter Tractability: Algorithms and Lower Bounds

Theory paper combines differential privacy with fixed-parameter tractable encoders, improving approximation guarantees for combinatorial optimization and proving new lower bounds.

The paper studies combinatorial optimization under epsilon-differential privacy within the implicit encoder-decoder framework of Gupta et al. (SODA 2010), generalizing it to allow fixed-parameter tractable encoders. This circumvents approximation barriers inherent to polynomial-time algorithms and yields improved guarantees for fundamental combinatorial optimization problems. The authors establish the first representation-independent lower bounds: assuming a non-uniform variant of the Gap Exponential Time Hypothesis, no epsilon-DP encoder-decoder pair can achieve certain approximation guarantees with a subexponential-time decoder for sufficiently small epsilon. Representation-dependent lower bounds are also provided for larger epsilon.

arXiv cs.CR · 5d agoResearch

Microsoft Offers Up to $30,000 for Critical AI Flaws in Dynamics 365 and Power Platform

Microsoft expands AI bug bounty to Dynamics 365 and Power Platform, paying up to $30,000 for critical inference manipulation flaws.

Microsoft's bug bounty program offers up to $30,000 for critical 'Inference Manipulation' or 'Inferential Information Disclosure' bugs in Dynamics 365 and Power Platform, including Copilot Studio, AI Builder, Power Apps, Power Automate, and Dataverse. Payouts scale by report quality ($30,000/$20,000/$12,000 for critical) with important-severity AI flaws earning $6,000-$20,000, plus 20% multipliers for Dataverse privilege escalation and Plugin Sandbox escapes. Prompt injection affecting only the attacker, hallucinated execution, and system-prompt disclosure are excluded from scope.

Cyber Security News · 2d agoIndustry

Climate-ModernBERT: Revisiting Corpus Composition for Domain-Adaptive Continued Pretraining

Climate-ModernBERT domain-adapted encoders reach 76.3 average F1 across nine climate benchmarks, 2.8 points above vanilla ModernBERT-Base.

The authors continue pretraining ModernBERT-Base on three climate corpora - academic text, climate-filtered web data, and synthetic documents - and compare joint mixtures against parameter-space merging of specialized checkpoints. The best model achieves 76.3 average F1 across nine climate NLP benchmarks, a 2.8-point improvement over the vanilla baseline. Academic climate corpora provide the strongest adaptation signal, and parameter-space merging outperforms joint multi-source training while preserving complementary corpus information; all variants are released.

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

NASA AIT-GUI Flaws Could Let Unauthenticated Attackers Issue Spacecraft Commands

Researchers disclosed 9.4-CVSS flaws in NASA/JPL's AIT-GUI allowing unauthenticated attackers to issue arbitrary spacecraft commands via exposed command endpoints.

Cycode disclosed a flaw chain in AIT-GUI, the browser-based operator console for NASA/JPL's open-source AMMOS Instrument Toolkit, tracked as GHSA-p9r8-2q67-fp86 with CVSS 9.4, affecting versions 2.5.1 and earlier. The server binds to 0.0.0.0:8080, issues sessions without credential checks, and lets unauthenticated users issue spacecraft commands via POST /cmd and reach files outside intended directories via /script/run and /seq (CWE-306, CWE-352, CWE-22). Version 2.5.2 adds host binding and same-origin checks but does not add authentication, and a related missing-authentication flaw was published separately as CVE-2026-60112 with CVSS 9.3.

The Hacker News · 27d agoVulnerabilityCVE-2026-601121

AuK Technical Report: An Open-Source Foundational Model for Speech Generation and Editing

Open-source speech foundation model AuK unifies generation and editing, trained on 1.95 million hours, with distilled AuK-Flash achieving 4.5x speedup.

AuK is an open-source foundational model that unifies speech generation and editing through natural-language instructions and audio context, trained on approximately 3.03 billion instruction-audio instances and 1.95 million hours of supervision across five task families including generation, content editing, and acoustic editing. It combines a multimodal LLM for semantic conditioning, a VAE jointly trained on speech, general audio, and music, and a hybrid rectified-flow Transformer using dual-stream MMDiT blocks followed by unified single-stream DiT blocks. Post-training applies human-feedback preference optimization for editing and reward-based reinforcement learning for generation, and the distilled AuK-Flash performs 4-step inference without classifier-free guidance at a 4.5x wall-clock speedup. Source code and model weights are released.

Hugging Face daily papers · 9d agoModel release2

New Phishing Campaign Abuses Windows Mshta.exe to Steal Credentials and Secrets

Fortra researchers track an active phishing campaign targeting Spanish speakers that abuses mshta.exe to run HTA payloads for reconnaissance and credential theft.

Fortra's FIRE team says a phishing campaign active since June 2026 targets Spanish-speaking users with invoice ('Facturación') and judicial ('Aviso Judicial') lures, many sent via libero.it/italiaonline.it infrastructure with SCL:-1 markings to bypass anti-spam. Clicking embedded links delivers an HTA launcher executed via mshta.exe, which hides its window off-screen, builds dynamic C2 URLs, and performs reconnaissance using WMI, PowerShell, and environment-variable inspection. A second-stage JavaScript dropper uses HTML smuggling to reconstruct a Base64-encoded ZIP in the browser, delivering a 7-Zip self-extracting executable disguised as a Firefox installer; staged design allows later delivery of credential stealers or ransomware. Defenders are urged to block archivogratuito[.]online and shortener domains goo[.]su, abrir[.]link, and abre[.]ai, and to restrict mshta.exe execution via AppLocker or ASR rules.

GBHackers · 4d agoPhishing & fraud in the wild1