Search: “Pocket”

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India’s Pocket FM doubles revenue run rate to $500M as AI powers 93% of audio content

Indian audio platform Pocket FM doubled its annualized revenue run rate to $500M, with AI now producing 93% of its catalog.

Pocket FM, an Indian serialized audio storytelling platform, doubled its annualized revenue run rate to $500 million in a year, with AI powering 93% of its catalog and 99% of new content. The company says generative AI, including in-house creative-writing and text-to-speech models, made production roughly 80 times cheaper, letting 550,000+ creators produce about 2.5 million hours of content annually across 770,000 audio series for 250 million listeners. Parent Pocket Entertainment is reportedly in talks to raise $100-120 million at about a $2 billion valuation, is profitable on an adjusted basis, and its AI-only microdrama app Pocket Saga has reached a $15 million annualized run rate.

TechCrunch · AI·Sep 10, 17:45 UTC · 6d agoAI industry

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The Crypto Wallet That Never Opened: Tampered Exodus Installer Hides a Modular RAT

Huntress found tampered Exodus crypto wallet installers delivering a modular RAT that steals credentials rather than wallet funds.

Huntress analysts analyzed tampered installers for the Exodus cryptocurrency wallet that bundle a modular remote access trojan. The implant focuses on harvesting credentials instead of draining wallet balances, suggesting broader access theft. The case highlights installer tampering as a supply-chain-style delivery vector for credential-stealing tooling.

Huntress·Sep 1, 04:00 UTC · 15d agoMalware in the wild

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Pocket's AI made my game ideas real. Now Meta controls the results.

A hands-on review finds Pocket's AI turns game ideas into interactive mobile apps, but sharing stays locked inside Meta's platform.

Ars Technica tested Pocket's AI, which converts prompts for game concepts into interactive mobile "gizmos" that run on Meta's platform. The review concludes these creations are easy to make but hard to share outside Meta's ecosystem, giving Meta control over distribution and results.

Ars Technica · AI·Aug 31, 10:00 UTC · 16d agoAI industry

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American Being Prosecuted for Wiping His Phone Before Handing It Over to Border Officials

A U.S. citizen is being prosecuted for using GrapheneOS's duress passcode to wipe his phone before border officials could search it.

Tunick entered a dedicated wipe passcode in GrapheneOS, a hardened Android alternative running on his Google Pixel, erasing the device's contents when demanded by border officials. His attorneys confirmed the software was in use, and the prosecution is proceeding even though he was not under arrest. The case raises unresolved constitutional questions about what rights apply at the U.S. border, which the government has long treated as outside U.S. soil until entry is authorized. GrapheneOS publicly asserted the feature is legal and that laws weakening its protections would be unconstitutional.

Schneier on Security·Aug 13, 05:49 UTC · Aug 13, 2026Policy & legal

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Switching Password Managers in 2026

An Apple password-management engineer (writing personally) explains switching password managers via iOS direct app-to-app export, crediting FIDO Credential Exchange for passkey portability.

Ricky Mondello, an Apple engineer in password management and authentication (writing personally, not for Apple), demonstrates moving 100 items from 1Password to Apple Passwords via the iOS system export, which transfers passwords, passkeys, verification codes, and notes directly between apps with Face ID confirmation and no intermediate files. He credits the FIDO Alliance's Credential Exchange format (first draft May 2024, now an open spec) and iOS 26/macOS 26 for enabling phishing-resistant credential transfer between apps like 1Password, Bitwarden, Dashlane, DuckDuckGo, and Devolutions. The post is advice rather than news, recommending bulk transfer on the existing device, switching AutoFill to the new app, and treating the new manager as the source of truth.

Lobsters · security·Sep 8, 13:55 UTC · 8d agoIndustry1

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CrossLink: Breaking Location Privacy by Linking Device Identifiers Across Protocols

Researchers present CrossLink, a passive tracing algorithm linking temporary device identifiers across LTE, WiFi, and BLE, reconstructing full traces for 83% of simulated users.

Smartphones emit temporary identifiers simultaneously over LTE, WiFi, and BLE, and per-protocol randomization defenses implicitly assume their protections compose across protocols. CrossLink is an uncertainty-aware tracing algorithm that stitches device identifiers across time, space, and protocols even when the adversary is fully passive and rotations are unsynchronized. In large-scale mobility simulation it reconstructs full traces for 83% of users versus 22% for the best single-protocol baseline. It remains effective under partial sniffer coverage, including strategically placed sniffers near LTE handover regions, mobile sniffers, and limited high-coverage subregions.

arXiv cs.CR·Sep 9, 09:51 UTC · 7d agoResearch

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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·Sep 15, 10:00 UTC · 1d agoAI industry

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The Shared Clipboard Inside the Sandbox: Cross-Account Data Leakage in ChatGPT

Check Point discovers cross-account data leakage in ChatGPT: isolated code-execution containers communicate via shared JFrog Artifactory, enabling covert Gmail exfiltration.

Check Point Research found a covert bidirectional channel between ChatGPT code-execution containers belonging to different accounts, which were supposed to be isolated from each other and the public internet. Both could reach the same internal JFrog Artifactory instance used for package delivery, whose exposed Item Management API allowed a 'shared clipboard' between containers. In a proof of concept, a hidden instruction in a shared conversation made ChatGPT retrieve email data from the victim's connected Gmail account and send it to the attacker's account while the victim received a normal answer. The same channel could exfiltrate conversation history and session files; OpenAI recently described a similar isolation weakness in its postmortem of the Hugging Face incident.

Check Point Research·Sep 8, 13:00 UTC · 8d agoAI safety & security1

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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·Sep 2, 00:00 UTC · 14d agoTools

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Meme Coin Factories: Uncovering Large-Scale Manipulations on pump.fun

Large-scale pump.fun study of 15 million meme coins identifies five manipulation classes including wash trading and a Market-Manipulation-as-a-Service ecosystem.

Researchers analyzed all 15 million coins launched on pump.fun over the last two years plus large random samples of transaction data, identifying five manipulation classes: wash trading, creator address obfuscation, coordinated sells, copycat coins, and social media manipulation. Strategic actors bypass the platform interface and implement strategies in a highly automated, low-latency way by interacting directly with the blockchain. The study also uncovers Market-Manipulation-as-a-Service (MMaaS) third-party tools that let non-technical users run these manipulations, and proposes mitigations for traders, pump.fun, and regulators.

arXiv cs.CR·Sep 9, 14:35 UTC · 7d agoResearch

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The Tragedy and Ecstasy of AI Companions (with Bridget Todd)

Interview with journalist Bridget Todd explores how people use AI chatbots for intimacy and how tech companies monetize emotional dependence.

404 Media interviewed Bridget Todd, creator of the podcast There Are No Girls on the Internet, about her new audiobook 'Love at First Prompt: AI and the Future of Intimacy.' Todd describes turning to ChatGPT for emotional support while caring for her dying parents and interviews people who form romantic and erotic relationships with chatbots. The discussion critiques tech companies' inconsistent companion policies, citing Sam Altman's reversed stance on erotic roleplay, and their incentives to monetize intimate user relationships.

404 Media·Aug 27, 15:47 UTC · 20d agoAI industry

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Party’s over for scammers who went on spending spree after $240M bitcoin theft

AP report on scammers' spending spree after a $240 million bitcoin social engineering theft, as ringleader Malone Lam nears a plea agreement.

DataBreaches.net syndicates AP reporting on the $240 million bitcoin theft from a Washington, D.C. resident via social engineering calls impersonating Google and Gemini. Alleged ringleader Malone Lam, 22, faces a plea hearing; the scam network spent stolen funds on cars, jets, and mansions before FBI arrests. Crypto investment fraud complaints to the FBI rose nearly 50% in 2025.

DataBreaches.net·Sep 8, 11:32 UTC · 8d agoPolicy & legal

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When scanners miss the attack: how Cloudflare Client-Side Security protects storefronts

Cloudflare's Page Shield ML uncovered four malicious JavaScript campaigns on storefronts, including affiliate fraud and a remote-backdoor script, that VirusTotal and URLScan missed.

Cloudflare's Page Shield ML detected four client-side JavaScript operations (eight payloads) in live traffic on online storefronts, enabling affiliate commission hijacking, clickless affiliate theft via hidden iframes, user tracking with a remote-code backdoor, and cloaking of paid mobile visitors. Seven of the eight payloads were absent from VirusTotal and URLScan returned no malicious verdict for any, including a Lnkr-family payload indexed unclassified for roughly 2.5 years. Detection relies on a graph neural network over JavaScript syntax trees, an LLM second opinion on Workers AI, and a frontier-model ensemble voting across benign, magecart, other malware, and cryptomining labels.

Cloudflare Blog·20:06 UTC · 3h agoMalware in the wild

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A new open standard locks AI weights to approved hardware

OPAQUE releases Weight Custody Manifest, an open standard keeping AI model weights encrypted until receiving hardware cryptographically attests to builder-specified conditions.

OPAQUE, a confidential computing company, released the Weight Custody Manifest (WCM) standard as a developer-preview specification with a Python SDK and a public test suite of 91 cases. WCM keeps model weights encrypted until the receiving infrastructure proves via CPU/GPU attestation that it matches builder-signed conditions, and decryption access can be revoked later if conditions change. OPAQUE says it ran the attestation exchange on an NVIDIA H100 and on AMD and Intel confidential servers hosted on Azure and Google Cloud, with two independent SDK builds producing identical output across 5,948 files. The public quickstart only exercises protocol logic on synthetic evidence and skips GPU cryptographic verification, and the standard cannot distinguish an authorized key from one physically extracted from hardware.

Help Net Security·Sep 10, 04:10 UTC · 6d agoAI safety & security

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A bold new strategy or a dangerous precedent? Experts are divided on Trump's memo.

Trump presidential memorandum authorizes private-sector companies to conduct federally supervised hacking operations against transnational criminal organizations.

A newly signed presidential memorandum enlists private companies in federal law enforcement hacking operations aimed at transnational criminal organizations, with a 60-day window to establish the program. Experts told CyberScoop the shift raises attribution, targeting and constitutional questions, including risks of private firms accidentally attacking foreign governments and procedures for prior approval before targeting US persons. Critics likened the approach to historical letters of marque, while supporters including NSC cyber policy director Amanda Naylor framed it as bringing private-sector speed to the fight against cybercrime and fraud.

CyberScoop·Aug 13, 22:19 UTC · Aug 13, 2026Policy & legal

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Breaking the 1.58-bit Barrier for Ternary LLMs

An arXiv paper claims a method that breaks the 1.58-bit barrier for ternary large language models.

The arXiv preprint 2609.16338, titled 'Breaking the 1.58-bit Barrier for Ternary LLMs,' presents research on ternary-weight large language models, which use roughly 1.58 bits per weight. The source text contained only the title and Hacker News engagement data (56 points, no comments), so further technical details are not available.

Hacker News · AI·20:59 UTC · 2h agoAI researchHN 56↑ · 0 comments

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Import AI 470: No rights for machines; automating environment generation with SPADE; and building better GPU kernels with Hawkeye

METR analysis finds AI accelerating cyber vulnerability discovery, while SPADE self-play environment generation improves Qwen3 reasoning benchmark scores at 30B scale.

Import AI 470 discusses a METR research note reporting differential acceleration from AI: major acceleration in reported cyber vulnerabilities (cURL, OpenSSL, Firefox, Microsoft, NVD, OSV), minor acceleration in mathematics, and no measurable acceleration in AI-research optimization benchmarks. It also covers SPADE, a self-play framework from a multi-university team (University of Washington, Stanford, MIT, CMU, and others) that co-evolves executable training environments and agent capability using Environment Designer and Reasoning Agent roles with hint-based regret rewards. Trained on Qwen3-4B-Instruct-2507, Qwen3-8B, and Qwen3-30B-A3B-Instruct-2507 via GRPO (400 rollouts of 25 environments), SPADE lifted the 30B-A3B game-environment suite average to 58.3, +8.1 over base, and improved tool-use results across backbones. The issue also references Hawkeye for building better GPU kernels.

Import AI·Aug 24, 13:12 UTC · 23d agoAI research1

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When the prompt becomes the payload: A practical pen-testing guide for GenAI, LLM and RAG applications

CSO Online publishes a practical penetration-testing guide for GenAI, LLM, and RAG applications, covering prompt injection, retrieval poisoning, and tenant isolation testing.

The guide frames LLM applications as attack graphs spanning prompts, retrieval layers, vector stores, tools, identities, and downstream APIs, arguing that conventional web testing misses instruction-vs-data channel risks. It builds on OWASP prompt injection guidance (direct vs. indirect injection) and NIST's 2025 adversarial machine-learning taxonomy, noting that RAG and fine-tuning do not remove injection risk. Recommended practices include documenting trust transitions across components, using canaries and synthetic records to avoid test side effects, running multi-turn and obfuscated injection campaigns, and verifying chains from poisoned documents to observable state changes. It also details testing RAG pipelines via controlled document poisoning across metadata, OCR layers, and code comments, plus cross-tenant isolation checks on retrieved document IDs.

CSO Online·Sep 9, 10:00 UTC · 7d agoAI safety & security1

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2026 Cyber Insurance Trends Report: What's Changed and What You Need to Know

Huntress survey: CIRCIA reporting mandates now live, BEC claims exceed ransomware, exfiltration-heavy attacks cost twice as much, premiums rising.

Huntress's 2026 cyber insurance trends report, based on its own survey, finds 79% of respondents carry cyber insurance while 58% report shrinking coverage over five years. New CIRCIA federal reporting mandates and EU NIS2 requirements are reshaping policies, business email compromise now drives more claims than ransomware, and data exfiltration has replaced encryption as the dominant ransomware tactic at roughly twice the cost. After three years of declining premiums, rates are climbing again, and most businesses now refuse to pay ransoms.

Huntress·Sep 1, 17:00 UTC · 15d agoIndustry1

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Fortunate Recall: Ontology-Driven Memory Lifecycle Management for Persistent Coherence in LLMs

Fortunate Recall introduces ontology-based lifecycle policies for LLM memory, cutting confabulation roughly in half (e.g., 45.1% to 22.4%) versus Mem0.

Fortunate Recall (FR) is a composable policy layer that classifies personal facts into a 10+1 behavioral ontology and applies category-specific lifecycle rules including differential temporal decay, slot-key supersession, event-time validity, and retrieval routing. FR-Bank scores 76.9% on the new 516-question LifecycleBench, ahead of Mem0, A-MEM, Memory-R1, and MemoryOS (61%-70.5%), and 75.2% on LongMemEval-S. End-to-end, confabulation drops from Mem0's 45.1% to 22.4% over answered queries, with the ranking replicating on open-weight Kimi K2.5 and transferring to the independent BEAM benchmark (46.8% vs 32.9%).

arXiv cs.AI / cs.LG / cs.CL·Sep 9, 16:31 UTC · 7d agoAI research

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An AI CAPTCHA solver talked itself out of the right answer

Bern researchers solved rotation CAPTCHAs in 0.006 seconds with classical computer vision, while Gemini 3.1 Pro needed 67 seconds and overruled correct tool answers.

Researchers at Bern University of Applied Sciences built a script using 1970s circle-detection math and signal matching that solved rotation CAPTCHAs in 0.006 seconds, scoring 10/10 on real-world puzzles. Frontier models fared poorly: Gemini 3.1 Pro scored 7/10 taking 67 seconds, while GPT-4o and Grok scored 1/10. When given the script's correct answer as a tool, Gemini overruled it and lost a fifth of its score; models could verbally describe targets, such as identifying a cyan ring, but could not produce accurate click coordinates. The paper also notes these no-JavaScript CAPTCHAs reduce tracking, leaving only shape-matching tasks classical vision solves easily.

Help Net Security·Sep 2, 00:00 UTC · 14d agoAI research1

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Subgroup Packing for Batched PASTA Transciphering

Interleaved subgroup packing cuts PASTA homomorphic transciphering server cost by a median 1.60x at the expense of remaining noise capacity.

The paper studies how record word layout affects the cost of PASTA transciphering, where a server converts symmetrically encrypted records into homomorphic ciphertexts. A subgroup layout interleaves records so cyclic shifts preserve positions, reducing required displacements from 255 to 128 versus contiguous packing. In HElib across twelve paired corpora under six homomorphic keys, the median direct-to-subgroup server cost ratio is 1.60 including fresh generation, conversion, and two queries, but with less remaining noise capacity.

arXiv cs.CR·Sep 11, 09:24 UTC · 5d agoResearch

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Switzerland's Federal Government Is Replacing Microsoft on 3k Computers

Switzerland's Federal Chancellery launched a pilot replacing Microsoft 365 with open-source openDesk on 3,000 federal workstations by end of 2027.

Switzerland launched a CHF 9 million pilot to migrate 3,000 federal workstations (about 7% of the federal workforce) from Microsoft 365 to the German open-source openDesk suite, targeting completion by end of 2027. The move follows a successful 172-employee proof of concept (PoC BOSS) and the 2024 EMBAG open-source law, driven by digital sovereignty concerns about foreign access to Swiss government data. The Swiss Army's Cyber Command plans a faster migration, replacing Microsoft 365 with openDesk by October 2026, while Microsoft is investing over CHF 325 million in Swiss AI and cloud infrastructure.

Hacker News · security·Sep 7, 05:33 UTC · 9d agoPolicy & legalHN 354↑ · 278 comments

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Context Engineering Inside the Harness: 4 Mechanisms That Beat Context Overflow and Goal Loss on Long-Horizon Tasks

Survey of four harness mechanisms—context budgeting, compaction, todo-state, and memory—that keep long-horizon LLM agents on task across 200+ tool calls.

The article details how agent harnesses, not larger context windows, solve context overflow and goal loss on long-horizon tasks, citing Chroma's Context Rot report showing 18 LLMs (GPT-4.1, Claude 4, Gemini 2.5, Qwen3) degrade on long inputs. Concrete implementations include LangChain Deep Agents offloading tool responses over 20,000 tokens to the filesystem and truncating old tool calls at 85% window usage, and Claude Code capping auto memory at 25KB while re-reading the 5 most recently modified files after compaction. OpenAI's Responses API now offers server-side compaction via context_management with a standalone /responses/compact endpoint, which Codex uses for long-running coding tasks. Manus reports a roughly 100:1 input-to-output token ratio per ~50-tool-call task, motivating todo.md state recitation to prevent goal drift.

MarkTechPost·Sep 13, 05:56 UTC · 3d agoAI research1

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'Breeze Comet' Tears Into Brazilian & Global Financial Systems

Threat group 'Breeze Comet' is attacking Brazil's financial systems and reportedly stealing funds directly, per Dark Reading threat intelligence.

Dark Reading reports that 'Breeze Comet', described as Brazil's most sophisticated threat group, is compromising the country's financial systems. The activity is financially motivated, with funds reportedly moved directly to the attackers. The campaign reportedly extends to global financial systems, though technical details, victims and attribution evidence were not disclosed in the excerpt.

Dark Reading·Sep 3, 12:00 UTC · 13d agoThreat actor in the wild

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MicroHasTEE: Bare-Metal Haskell for Type-Level Peripheral Ownership on Armv8-M

MicroHasTEE expresses TrustZone secure and non-secure firmware as one typed Haskell program, catching peripheral-ownership inconsistencies at compile time.

MicroHasTEE is a multiparty Haskell framework that models both TrustZone firmware images as participants in a single typed program, using type-level capability ledgers to track peripheral acquisition, configuration, transfer, and finalization. MicroHs compiles the shared program twice to produce separate bare-metal Secure and Non-secure firmware images. The framework rejects inconsistent resource use, post-configuration attribution changes, wrong-domain callbacks, and calls to unregistered Secure services. A door-lock case study on an STM32U5 Nucleo board produced images of 232.7 KiB and 228.4 KiB of flash with roughly 220 KiB of SRAM per domain.

arXiv cs.CR·Sep 11, 08:34 UTC · 5d agoResearch1

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12 Best CWPP Solutions Compared (2026): Features & Pricing

Editorial comparison ranks twelve CWPP vendors, with Sysdig leading K8s runtime depth, Prisma Cloud workload breadth, and Wiz agentless speed.

A 2026 buyer's guide compares twelve cloud workload protection platforms across features and pricing models. Sysdig is rated deepest for container/Kubernetes runtime via its Falco lineage, Prisma Cloud broadest across hosts, containers, and serverless, Aqua strongest on cloud-native lifecycle, and Wiz/CrowdStrike lead agentless speed and platform correlation. Category notes flag Illumio as microsegmentation and Fidelis as NDR/XDR rather than classic CWPP.

GBHackers·updated 09:52 UTC · 13h ago·first Sep 15, 06:43 UTC · 1d agoIndustry 14 sources

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Why Johnny Can't Encrypt: A Usability Evaluation of PGP 5.0 (1999)

Seminal 1999 USENIX study finds most novice users cannot correctly sign and encrypt email with PGP 5.0 in 90 minutes.

Whitten and Tygar's USENIX Security Symposium paper evaluates whether cryptography novices can use PGP 5.0 effectively, using cognitive walkthrough analysis and a laboratory user test. The majority of test participants failed to successfully sign and encrypt a message within 90 minutes, despite PGP 5.0 having a well-regarded graphical interface. The authors argue that security requires usability standards beyond those of general consumer software and propose domain-specific UI design principles for security. The paper is a foundational reference in usable security research.

Lobsters · security·Sep 9, 06:47 UTC · 7d agoResearch

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Fraudsters steal $6 million from Tectonic crypto platform after inflating token price

Attackers inflated Tectonic's Tonic token price 100x in 20 minutes and borrowed $74 million against it, stealing $6 million before Cronos halted activity.

Attackers manipulated the price of Tectonic's thinly traded Tonic token, raising it more than 100-fold in 20 minutes, then used the inflated tokens as collateral to borrow assets in an attempted $74 million theft. About $6 million left the platform; Cronos halted blockchain activity and later restored roughly $69 million in frozen funds via an on-chain rollback. Tectonic plans a phased reopening and a postmortem. TRM Labs says market manipulation now accounts for one in eight crypto hacks, with 32 incidents in 2026, and compares the case to the 2022 Mango Markets manipulation that led to a criminal conviction.

The Record·Aug 31, 19:42 UTC · 16d agoPhishing & fraud

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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·Sep 4, 15:49 UTC · 12d agoAI research

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Atomic macOS (AMOS) Stealer Activity

Unit 42 details an August 2026 AMOS macOS stealer infection delivered via fake 'macOS toolkit' pages and Terminal paste commands, exfiltrating credentials to C2.

Unit 42 analyzed an AMOS (Atomic macOS Stealer) infection from August 5, 2026, initiated via a page at getmacouscloud[.]com instructing users to paste a command into Terminal. The command fetched a Zsh script from ferncore13[.]com that delivered a Mach-O installer to /tmp/helper and supporting files under /Library/Application Support/.com.apple.accountsd/ and .com.apple.metadata.mds/. AMOS collected browser data, credentials, cryptocurrency wallets (Binance, TonKeeper), Telegram data, and FileGrabber content such as AWS and gcloud files, uploading it via HTTP POST to C2 server 161.35.146[.]120. AMOS has been advertised on Telegram since April 2024 and distributed via ClickFix campaigns, malicious ads, and cracked-software sites.

Palo Alto Unit 42·10:00 UTC · 13h agoMalware in the wild

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Structural Jailbreaks Generalize but Do Not Compound: A cross-provider and multilingual study of Involuntary In-Context Learning

Researchers show IICL structural jailbreaks generalize to Google Gemini, lifting attack success to 80-100% on harm and financial benchmarks; non-English prompts attenuate it.

The study red-teams two Google Gemini models with Involuntary In-Context Learning (IICL), a structural jailbreak reframing harmful requests as the final cell of a data-labeling task. IICL lifts attack success from at most 6.7% to 80-90% on HarmBench and 97-100% on financial abuse (FinProof), an order of magnitude above prior results on OpenAI's GPT-5.4. Against a compounding hypothesis, forcing IICL output into Spanish, Hindi, or Arabic attenuates the attack in 11 of 12 conditions, attributed to a 'relevance curse' producing lower-quality harmful content in lower-resource languages. Findings replicate under an independent non-Google judge (Cohen's kappa 0.86 over 377 paired verdicts).

arXiv cs.CR·Sep 8, 07:38 UTC · 8d agoAI safety & security

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Rare Not Random Using Token Efficiency for Secrets Scanning

Researcher proposes token efficiency (string length divided by BPE token count) as a better post-regex filter than entropy for secrets scanning, validated on CredData.

The post explores whether Byte-Pair Encoding tokenization can replace Shannon entropy as the primary filter for candidate secrets captured by regex in tools like Gitleaks. It defines 'token efficiency' as string length divided by token count under the cl100k_base tokenizer; secret-like strings such as GitHub tokens tokenize into many small tokens and score low, while natural text scores high. Evaluating labeled secrets from the CredData dataset shows a usable separation, with roughly 2.5 suggested as a minimum cutoff versus Gitleaks' 3.5 entropy threshold. The technique is positioned as a post-regex filtering step rather than a standalone detector.

Lobsters · security·Sep 12, 06:42 UTC · 4d agoResearch

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You've Got a BUD in Me: Authenticated Reads from Per-Block Write Logs

Researchers propose BUD, per-block write-log digests enabling blockchain validators to serve historical membership and exclusion proofs far cheaper than state-wide tries.

The paper introduces Block Update Digests (BUD), which authenticate each block's write log with predecessor pointers, plus a SuperBUD and exponential hierarchy to turn long unchanged intervals into short proofs. Soundness against adversarial provers and up to f Byzantine validators is proven under archive, attestation, and committee evidence assumptions. Benchmarks show a 50x state-size increase raises the base-BUD path only 1.24x versus 3.1x for in-memory and 69.5x for disk-backed Merkle Patricia tries, with read payloads below 800 bytes and p99 warm verification at 146 microseconds.

arXiv cs.CR·Sep 10, 08:46 UTC · 6d agoResearch

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Risky Bulletin: Expired cards can be used for new transactions

Researchers show expired Visa contactless cards can be revived via NFC man-in-the-middle relay to run fraudulent transactions; roundup also covers major breaches.

University of Massachusetts Amherst researchers built an NFC man-in-the-middle rig that updates a card's expiration date in transit and relays the modified payment to POS terminals, reviving expired contactless cards; Visa terminals and the backends of all five banks studied failed to catch the manipulation. The same roundup reports Iranian hackers shut down a small UK power plant for four days, Lazarus breached South Korea's Presidential Office as part of a campaign exceeding 100 victims, and French telecom SFR suffered a breach affecting over 2.1 million customers.

Risky Business News·Aug 24, 04:40 UTC · 23d agoResearch1

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Testing race conditions with memory access tracing and stack-based delay injection

Google Project Zero released MAccConc, Linux kernel tooling that traces memory accesses to explore and test race condition interleavings.

A Google Project Zero researcher published MAccConc (Memory Access Concurrency), tooling for exploring possible interleavings of multithreaded test cases in the Linux kernel, available on GitHub. The tools use KCOV with ASAN outline-mode instrumentation to record per-access memory traces, enabling automatic testing of all A-B-A interleavings plus terminal and GUI explorers for manual analysis. The work targets confirming race condition candidates, building reliable regression tests, and enabling concurrency fuzzing, drawing on ideas from SKI and Ned Williamson's sockfuzzer.

Google Project Zero·Sep 8, 07:00 UTC · 8d agoResearch1

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Tricky 'SynkLoader' Multitool May Herald Ransomware

Researchers detail SynkLoader, an advanced multilingual multitool that hijacks screens to steal passwords and may precede ransomware attacks.

Dark Reading reports analysis of SynkLoader, an advanced, multilingual malware family functioning as a multitool loader. The family revives an older technique — screen hijacking — to enable effective password theft, alongside several novel features. Analysts assess its activity may be a precursor to ransomware deployments, making early detection valuable for defenders.

Dark Reading·Aug 24, 15:02 UTC · 23d agoMalware

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Party’s Over for Crypto Scammers Who Went on a Spending Spree After a $240 Million Bitcoin Theft

Malone Lam's plea hearing approaches in the $240 million bitcoin social engineering theft; the case highlights surging crypto fraud and limited enforcement.

Malone Lam, accused of organizing a social engineering attack that stole over $240 million in bitcoin (4,100+ BTC) from a Washington, D.C. resident in August 2024, has a plea agreement hearing set. Callers impersonating Google and Gemini staff tricked the victim into revealing security codes. Lam and 17 co-defendants spent lavishly before FBI arrests; crypto investment fraud complaints to the FBI rose nearly 50% in 2025 while DOJ disbanded its crypto crimes unit.

SecurityWeek·Sep 8, 13:00 UTC · 8d agoPolicy & legal

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Grok exfiltrates user data when malicious instructions are encrypted

Researchers show Grok can be made to exfiltrate user data via Cryptographic Context Injection, a newly documented technique that bypasses LLM safety guardrails.

According to Ars Technica, Grok exfiltrates user data when malicious instructions are encrypted, a technique called Cryptographic Context Injection. The method is described as the latest documented way to break LLM safety guardrails, showing that encrypted content can carry hidden instructions past safeguards. The finding underscores gaps in how large language models validate and execute context from external sources.

Ars Technica · Security·Aug 20, 13:00 UTC · 27d agoAI safety & security1

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Product showcase: mSecure makes one vault do more than remember passwords

Product showcase reviews mSecure password manager's AES-256 zero-knowledge vault with passkeys, 2FA storage, and multi-device sync options.

mSecure is a password manager and data vault for iOS, Android, macOS, and Windows using AES-256 encryption and a zero-knowledge architecture, with sync via mSecure Cloud, Wi-Fi, iCloud, or Dropbox, plus local-only storage. It supports passkeys, one-time passwords, a Security Center for weak/reused passwords, and a configurable password generator. Recovery features include two-factor authentication, auto-lock, a Self-Destruct option after failed unlock attempts, and iCloud backups on iOS.

Help Net Security·Sep 15, 05:30 UTC · 1d agoTools1

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