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Apple Reference Image: A New Approach for Verified Photography
Apple introduces Reference Image, hardware-backed verifiable photography on iPhone 18 Pro using sensor signing and Private Cloud Compute to counter AI-generated fakes.
Apple announced Reference Image, an opt-in camera mode debuting on the main sensor of iPhone 18 Pro and iPhone 18 Pro Max that produces securely timestamped, verifiable photographs. The design splits into two phases: a secure digital negative created by cryptographically signing pixel data at the sensor immediately after capture (preventing injection or tampering), then developing that negative into a reference image. Private Cloud Compute handles processing without exposing image contents to anyone, including Apple, and fraudulent reference images can be revoked without revealing the photographer's identity. Apple positions the system as stronger than C2PA-based approaches, which sign metadata after capture, are vulnerable to editing-chain compromise, and can tie images to a device or individual.
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1Password's AI patching benchmark is misleading
Trail of Bits reanalysis says 1Password's 26% AI clean-fix rate is misleading; 86% of eligible patches blocked exploits.
Trail of Bits critiques 1Password's FLAWED AI patching benchmark, arguing its 26% clean-fix headline mixes trials where agents were instructed to apply wrong fixes (22% of data) with trials that prohibited compiling or testing (36%). Restricting to reasonable conditions, 2,634 of 3,067 patches (86%) blocked the supplied exploit. Trail of Bits also reports 12.5% of 2,265 developer first fixes failed in its own 2024-2026 assessments, and released post-patch-validation and review-walkthrough agent skills.
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Top 10 Best Cloud Access Security Broker (CASB) Solutions in 2026
2026 CASB guide ranks Netskope first for depth and Microsoft Defender for Cloud Apps for Microsoft estates, as standalone CASB fades into SSE.
Buyer's guide covers ten CASB products across four enforcement modes: API, forward proxy, reverse proxy and log-based discovery. Netskope leads on SaaS activity context depth, while Microsoft Defender for Cloud Apps wins on Microsoft 365 E5 estate economics. The guide argues standalone CASB purchases have largely disappeared into SSE platforms and increasingly overlap with SSPM.
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[AINews] AEF-1 standard emerges for Third Party Evaluators, as Xai, OpenAI, and Anthropic all cosign
xAI, OpenAI, and Anthropic cosign the AEF-1 third-party evaluation standard while Dario Amodei proposes embedded evaluators for safety verification.
The AI Evaluator Forum published AEF-1, a baseline standard for independent third-party AI evaluations covering access, conflicts of interest, funding relationships, recusal, and transparency, cosigned by xAI, OpenAI, and Anthropic. Dario Amodei wrote a rare personal blogpost proposing embedded evaluators such as METR with desks, badges, company laptops, and internal-risk-team-level access to verify safety commitments, plus democratic and global coordination frameworks. The roundup also covers the pacing debate: Bilal Chughtai left Google DeepMind arguing progress may outrun alignment, while critics including Aidan Gomez and Cohere push back against slowdowns and lab gatekeeping. Additional items include Cline Desktop's launch with open-weight model support.
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GPT-5.6 Luna vs. GPT-6 Astra: Is a $1.20 Model Good Enough for Code Review?
Entelligence benchmarks GPT-5.6 Luna ($1.20/M output) against GPT-6 Astra for code review: Luna found 69 verified bugs at 3.6% of Astra's cost.
Entelligence compared GPT-5.6 Luna ($0.20/$1.20 per million tokens) against GPT-6 Astra ($10/$50) on 50 benchmark pull requests from Cal.com, Sentry, Discourse, Keycloak, and Grafana. Astra verified 92 bugs versus Luna's 69, with precision of 96% versus 74%, and Astra caught 19 of 24 security bugs while Luna found only 9. Luna cost $0.20 total versus Astra's $5.66 and reviewed faster at 23 seconds versus 36, with the widest quality gap on Keycloak authentication and permission logic (6 vs 14 verified bugs). Running both models would find 82% of the 143 verified bugs for $5.86 total.
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U.S. CISA adds GitLab, JFrog Artifactory, and ConnectWise ScreenConnect flaws to its Known Exploited Vulnerabilities catalog
CISA added four actively exploited GitLab, JFrog Artifactory, and ConnectWise ScreenConnect flaws to the KEV catalog with imminent deadlines.
CISA added CVE-2026-42016 and CVE-2026-42018 (JFrog Artifactory), CVE-2026-84869 (ConnectWise ScreenConnect), and CVE-2026-85706 (GitLab, CVSS 10.0) to its KEV catalog. Artifactory flaws are being chained with CVE-2026-82329 in attacks observed August 15 to September 8, taking over self-hosted servers, creating persistent administrator accounts, and installing backdoors. ScreenConnect CVE-2026-84869 allows unauthorized file transfer and execution during remote sessions, linked by Huntress to malicious VBScript deliveries, and is fixed in version 26.6.5. GitLab's repository commits API path traversal exposes SSH keys, database credentials, deploy tokens, and CI/CD variables, with watchTowr already observing in-the-wild probes. Federal agencies must patch GitLab and ScreenConnect flaws by September 14, 2026, and Artifactory flaws by September 25, 2026.
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GitLab CVE-2026-85706: One HTTP Request, No Authentication, Full File Read – Exploited Within 24 Hours
GitLab path traversal CVE-2026-85706 (CVSS 10.0) was actively probed and exploited within 24 hours of disclosure and added to CISA's KEV catalog.
CVE-2026-85706 is a CVSS 10.0 path traversal in GitLab's repository commits API allowing unauthenticated arbitrary file read via a single crafted HTTP request, exposing SSH keys, database credentials, deploy tokens, and CI/CD variables. watchTowr observed in-the-wild probes by September 11, one day after the September 10 disclosure, and CISA added the flaw to its Known Exploited Vulnerabilities catalog. Affected versions include CE and EE 18.7 before 19.1.8, 19.2 before 19.2.6, and 19.3 before 19.3.2; the same update also patches insecure deserialization flaw CVE-2026-87719. Defenders should patch or remove public access, hunt logs for POSTs to /api/v4/projects/{id}/repository/commits/ with file.path parameters, and rotate exposed credentials.
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Conti Hacker Who Built Malware and Attacked Victims Gets Four-Year Sentence
Ukrainian lawyer and Conti malware developer Oleksii Lytvynenko was sentenced to four years in U.S. prison for wire fraud conspiracy tied to Conti ransomware.
Lytvynenko, 44, admitted coding a loader for Conti and holding stolen data from eight U.S. and four overseas victims; prosecutors linked his actions to attacks on at least 12 companies. Conti infected more than 1,000 organizations across 47 U.S. states and 31 countries between 2020 and 2022, with victim payouts exceeding $150 million. Arrested in County Cork in July 2023 with Cobalt Strike running and an active Rocket.Chat session over Tor, forensic evidence showed his ransomware activity continued after Conti's 2022 collapse.
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The 12 Best Unified Endpoint Management (UEM) Solutions, Compared and Priced
A buyer's guide compares 12 unified endpoint management platforms, recommending Microsoft Intune, Jamf and Omnissa for common scenarios.
The article compares 12 UEM solutions including Microsoft Intune, Omnissa Workspace ONE, Jamf, ManageEngine, Ivanti, SOTI and 42Gears, with pricing models and platform coverage. It flags ownership changes such as Workspace ONE becoming Omnissa, BlackBerry divesting Cylance to Arctic Wolf, and Citrix's status under Cloud Software Group. Guidance centers on checking existing Microsoft 365 licensing before purchasing, per-user versus per-device pricing, and combining platforms like Intune and Jamf for Apple estates.
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The 12 Best Managed XDR Services, Compared and Priced
A comparison of twelve managed XDR providers covering pricing models, telemetry breadth, and distinguishing genuine MXDR from rebranded MDR services.
The article compares twelve managed XDR providers including Bitdefender, CrowdStrike, Palo Alto Unit 42, Trend Micro, Fortinet, Secureworks Taegis, Stellar Cyber, Ontinue, and ReliaQuest, highlighting pricing models and telemetry breadth. It explains that genuine MXDR must actively monitor identity, cloud, and email telemetry rather than merely ingest it, and typically costs 30-60% more than endpoint-only MDR. It also notes Sophos completed its approximately $859 million acquisition of Secureworks in February 2025.
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Top 10 Best Mobile Threat Defense (MTD) Solutions in 2026
Roundup of 2026 mobile threat defense tools recommends Zimperium and Lookout for targeted-attack detection and Defender for Endpoint for Microsoft shops.
This guide ranks ten mobile threat defense solutions, recommending Zimperium and Lookout for on-device detection against targeted users such as executives and journalists, and Microsoft Defender for Endpoint mobile for organizations already licensing Microsoft 365 E5. It explains that MDM enforces configuration while MTD detects attacks, and that mobile phishing now arrives via SMS, messaging apps and QR codes rather than email. It also highlights mercenary spyware and zero-click exploits as shifting requirements for high-risk users, referencing Apple's threat-notification program and Lockdown Mode.
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Proximity Gaps for Gabidulin Codes and Applications
Researchers prove proximity-gap bounds for rank-metric and Gabidulin codes, enabling the first polynomial commitment scheme framework based on rank-metric error-correcting codes.
The paper proves every linear rank-metric code admits a proximity gap for deltas up to (d-1)/(3n) with error at most q^(e+1)/q^m, and improves the gap to (d-1)/(2n) for Gabidulin codes with error at most 10q^(n-1)/q^m, matching bounds for Reed-Solomon codes. A constructed infinite family of constant-rate Gabidulin codes shows the (d-1)/(2n) bound is tight, and a counterexample establishes a lower bound on the error at the d/(3n) gap. Applications include an IOPP for interleaved Gabidulin codes adapted from the Ligero IOPP and a q-linearized polynomial commitment scheme adapted from Ligero-based PCS, reportedly the first PCS framework based on rank-metric codes.
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Google Cloud races to catch up in the AI deployment wars with Accenture deal
Google Cloud and Accenture formed a joint unit, training up to 1,000 forward-deployed engineers to drive enterprise adoption of Gemini Enterprise.
Google Cloud and Accenture launched the Accenture Gemini Enterprise Business Group, a joint unit of forward-deployed engineers helping enterprises adopt Google's AI tools. Google will train up to 1,000 Accenture FDEs to build custom applications on the Gemini Enterprise platform. Ramp data cited by TechCrunch puts Google at roughly 6% of US enterprise AI spending versus Anthropic's 43.5% and OpenAI's 39.7%. Alphabet held $811 billion in purchase commitments as of June 30, against Google Cloud's $24.8 billion second-quarter revenue.
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Creepy crawlies
git.kernel.org spends more CPU rendering commit pages for abusive AI-era scrapers than on all legitimate access including git clones.
Konstantin Ryabitsev reports that abusive crawler 'background radiation' at git.kernel.org consumes more CPU cycles rendering commit HTML than all legitimate access, with 14 cores across five geo-distributed nodes dedicated to scraper traffic. Simon Willison highlights the implications for crawlable web services like Datasette.
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OpenAI is putting $1 billion behind Daybreak for defenders working without enterprise budgets
OpenAI committed $1 billion to subsidize Daybreak cyber model access, training, and support for water, grid, government, banking, nonprofit, and open-source defenders.
OpenAI committed $1 billion in credits to subsidize access to its Daybreak cyber models, along with training and technical support, for defenders of water and wastewater systems, the electric grid, state and local government, community banks, nonprofits, and open-source projects. The commitment is targeted for consumption over roughly six months, starting in the United States, and follows a smaller $1 million program offered after recent attacks on US water systems. A pilot with MS-ISAC pairs Daybreak access with guided training, and more than 35 partner products joined the Daybreak Defense Network. Thousands of defenders across 2,000 approved organizations already use the service, and OpenAI also published the architecture of its agent-first Defense Factory.
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Snowflake GitHub Actions Flaw Lets Crafted Issues Trigger Command Injection
Wiz disclosed a GitHub Actions workflow injection in Snowflake's snowflake-connector-net repo that exposed Jira API tokens; Snowflake patched the flaw.
Wiz disclosed a workflow injection flaw in Snowflake's snowflake-connector-net repository, where attacker-controlled GitHub issue fields were expanded directly into a shell run block. Wiz's Red Agent exploited it during authorized security testing, received an out-of-band runner callback and retrieved a Jira API token with read access to engineering, security compliance and bug bounty projects. Snowflake merged a fix on June 23, 2026, rotated the token and said its investigation found no evidence of unauthorized access. No CVE, CVSS score or KEV entry has been assigned for the issue.
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Fake CVE-2023
A fake PoC for WinRAR RCE CVE-2023-40477 posted on GitHub actually deploys VenomRAT through a multi-step infection chain targeting researchers.
Four days after Zero Day Initiative publicly disclosed the WinRAR RCE vulnerability CVE-2023-40477 on August 17, 2023, an actor using the alias whalersplonk published a fake proof-of-concept on GitHub. The Python script actually repurposed public PoC code for GeoServer SQL injection CVE-2023-25157 and triggered an infection chain ending in VenomRAT. The README and an accompanying video lured users into running the script; the video drew over 100 plays. Unit 42 assesses the actor was opportunistic, targeting other miscreants adopting new vulnerabilities rather than researchers specifically.
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