Search: “gnss”

ZK-Trace: Certified Collusion Tracing with Zero-Knowledge Credentials for Federated GNSS Interference Monitoring

ZK-Trace combines Tardos fingerprints and zero-knowledge credentials to trace leaked classifier copies in federated GNSS monitoring without leaker cooperation.

ZK-Trace addresses leakage of a proprietary classifier distributed to partly trusted stations in federated GNSS interference monitoring, combining public identity marks, recipient-specific Tardos fingerprints, and zero-knowledge credential verification to support offline tracing. The paper provides false-accusation and tracing-score bounds with an interval-arithmetic checker allocating a common budget across accusation and tamper decisions. In a simulated GNSS federation it isolates all 160 single-owner copies and traces 712 of 720 two-owner mixtures with a 0.001 false-naming budget, while feature marks survive feature matching in 20/20 runs at 4.8 percentage-point accuracy cost but are erased by function-only distillation.

arXiv cs.CR·Sep 8, 14:00 UTC · 8d agoResearch

First Galileo SAS Authenticated Time Solution

Researchers demonstrate the first timing solution computed from Galileo's new Signal Authentication Service, protecting receivers against GNSS spoofing.

Galileo's new Signal Authentication Service (SAS) on the E6-C signal directly authenticates ranging measurements, closing a gap left by OSNMA, which only protects navigation data. Researchers built a snapshot software receiver implementing a simplified SAS protocol and computed an authenticated receiver clock bias from recordings of both SAS-capable satellites, collected with a Septentrio SDR prototype. The results demonstrate feasible authenticated timing ahead of full SAS operational deployment.

arXiv cs.CR·Sep 14, 16:26 UTC · 2d agoResearch

[Control systems] GeoVision security advisory (AV26-913)

Canada's Cyber Centre (AV26-913) warns GeoVision GV-LPC2011/LPC2211 firmware 1.13 license-plate cameras are affected by vulnerabilities and urges updates.

The Canadian Centre for Cyber Security issued control-systems advisory AV26-913 on September 11, 2026, noting that GeoVision GV-LPC2011/LPC2211 firmware version 1.13 is affected by vulnerabilities. The bulletin references the vendor advisory GV-LPC-2026-09-01 but provides no CVE identifiers or exploitation details. Administrators are encouraged to review the linked advisories and apply updates as they become available.

Canadian Centre for Cyber Security·Sep 11, 15:38 UTC · 5d agoAdvisory

GPT-6 built this earth exploration site in 5 prompts

Hacker News post showcases an interactive earth exploration website that GPT-6 generated from only five prompts.

The item is a Hacker News submission (23 points, 32 comments) linking to earth.ethanplus.ai, an earth exploration website the author says was built by GPT-6 in five prompts. It functions as a community demo of the model's web development and generative capabilities rather than a research or security disclosure.

Hacker News · security·Sep 11, 21:39 UTC · 5d agoAI industryHN 23↑ · 32 comments

Cybersecurity jobs available right now: September 8, 2026

Help Net Security's September 8 job roundup lists open cybersecurity roles at AudioCodes, Garmin, Scotiabank, GDIT, Subway and others across seven countries.

The listing includes a CISO role at AudioCodes in Israel, a Combat Systems Cyber Engineer at Johns Hopkins Applied Physics Laboratory, cloud security engineering at Garmin, and an IAM Architect at Scotiabank. Other openings span penetration testing for NATO exercises at Spektrum in Belgium, SOC analyst at Orro Group in Australia, threat hunting at GDIT, and security operations at Subway in the USA. Roles range from CISO and architect to SOC analyst and penetration tester.

Help Net Security·Sep 8, 00:00 UTC · 9d agoIndustry

The longitude problem: In the AI era, detection is won on facts, not guesses

Opinion piece argues defenders should beat AI-era attackers by carrying verified ground truth about approvers, domains, and vendors instead of relying on inference.

CSO Online contributor Alan LeFort, CEO of StrongestLayer, uses the historical longitude problem to argue that AI-era detection should rely on carried facts—authoritative records of payment approvers, owned domains, and legitimate vendors—rather than probabilistic inference that both attackers and defenders can now perform with comparable reasoning models. He illustrates with a CFO wire-fraud example defeated by checking the approver of record and the reply-to domain against ground truth. The piece stresses that ground truth decays and must be continuously maintained, like chronometers kept wound on every ship.

CSO Online·Sep 10, 10:00 UTC · 7d agoIndustry

Wärtsilä FOS-Onboard

CISA advisory: two hardcoded cryptographic key flaws in Wärtsilä FOS-Onboard 5.07.0923.01 (CVSS 9.0/9.1) could allow unauthorized updates, code execution, and credential theft.

CISA advisory ICSA-26-258-02 discloses CVE-2026-78225 (CVSS 3.1 9.0 critical), a hardcoded cryptographic server key in the deployer-ng Update Controller of Wärtsilä FOS-Onboard 5.07.0923.01. CVE-2026-81855 (CVSS 3.1 9.1 critical) is a hardcoded client authentication key in the robot testing framework component. Successful exploitation could let an attacker deliver unauthorized updates, execute code, or extract credentials to impersonate a privileged client. The product is deployed worldwide in transportation systems critical infrastructure; Cydome Security reported the flaws and CISA states no known public exploitation exists.

CISA Advisories·Sep 15, 12:00 UTC · 2d agoAdvisoryCVE-2026-78225CVE-2026-81855

Generating running routes with GPT-6 Astra and ChatGPT Work

Simon Willison used ChatGPT Work with GPT-6 Astra to generate 5K/10K running loops from OpenStreetMap data, noting the agent's executed code was not visible.

Simon Willison prompted ChatGPT Work running GPT-6 Astra (Max) to design looping 5K and 10K running routes from his address using OpenStreetMap data. The agent ran for 27 minutes and delivered an embedded visualization plus downloadable GPX and GeoJSON files, stating it used Nominatim for geocoding and Overpass to fetch local OSM roads and trails. He notes frustration that the actual executed code and exact actions were not visible in the ChatGPT UI, highlighting a transparency gap in agentic AI products.

Simon Willison·Sep 12, 23:56 UTC · 4d agoAI industry

Hackers Use Claude and GPT-Powered Tools to Help Breach Government and Financial Networks

Unit 42 links two Latin America campaigns where operators used Claude and GPT-4.1 during intrusions against government and financial targets.

Palo Alto Networks Unit 42 identified two activity clusters, CL-CRI-1131 and CL-CRI-1163, tied by shared SOCKS5 relay infrastructure and use of large language models during operations. The Mexican cluster targeted a transportation organization, federal ministries and water utilities in Mexico and Ecuador, while the Brazilian cluster used resume-themed phishing, custom remote-access Trojans and SockTz SOCKS5 tunneling against financial organizations. An exposed self-hosted NextChat interface on attacker infrastructure led researchers to assess operators used Claude and GPT-4.1 to generate workaround scripts and troubleshoot execution failures. Unit 42 noted AI reduced time needed to troubleshoot intrusions after initial access, rather than replacing the attacker.

Cyber Security News·Sep 10, 08:06 UTC · 7d agoThreat actor in the wild1

HYDRA: Quantifying Botnet Resource Thresholds for Efficient Link-Flooding Attacks on LEO Satellite Networks

HYDRA models link-flooding attacks on LEO satellite constellations as botnet minimization, matching prior disruption with 34% fewer bots and 23% less traffic.

HYDRA formulates link-flooding attack variants against LEO constellations such as Starlink and Kuiper as botnet minimization problems, quantifying the smallest bot subset and traffic allocation needed to disrupt communications between targeted geographic areas. Under matched stealth constraints it matches the ICARUS attack's disruption using 34% fewer bots and 23% less aggregate traffic, sustaining over 97% attack success as topology evolves. The framework also evaluates five mitigations, including routing diversification, ingress policing, distance-based constraints, source throttling, and botnet attrition.

arXiv cs.CR·Sep 14, 15:00 UTC · 2d agoResearch

GeoNetwork Fixes Unauthenticated RCE Chain Affecting Government Geoportal Backends

GeoNetwork patched two chained flaws (CVE-2026-63219, CVE-2026-58400) enabling unauthenticated RCE in government geospatial metadata catalogs.

Two flaws in the open-source GeoNetwork catalog chain into unauthenticated RCE: a missing authorization check on the formatter upload endpoint (CVE-2026-63219, CVSS 8.6) and an unsafe Saxon XSLT processor configuration allowing Java execution (CVE-2026-58400, CVSS 9.1). Fixes shipped in versions 4.4.12 and 4.2.17 on July 8, 2026, with details published August 31. Ethiack fingerprinted 121 internet-exposed vulnerable deployments across 39 countries, 89% tied to government or military agencies. No exploitation in the wild or KEV listing was reported at disclosure.

The Hacker News·Sep 2, 09:18 UTC · 15d agoVulnerabilityCVE-2026-63219CVE-2026-58400CVE-2024-36401+1 CVEs

Mars Security brings threat intelligence to detection in real time

Mars Security launched Real-Time Intel-Based Detection, converting advisories from CISA and Mandiant into backtested MITRE ATT&CK-mapped detection rules for CrowdStrike, Wiz, and Splunk.

Mars Security announced a capability that automatically turns newly published threat intelligence from sources like CISA, Mandiant, Unit 42, and Microsoft into MITRE ATT&CK-mapped detection rules. Each rule is written in the native query language of the customer's telemetry (CrowdStrike Falcon, Wiz, Splunk, firewalls, identity providers, AWS, Snowflake, Databricks) and backtested against 30 days of the customer's data before deployment, with indicator scoring to drop noisy or stale indicators. The platform also maps existing detection coverage, flags gaps such as AWS CloudTrail tampering and pass-the-hash movement, and delivers some recommendations as open pull requests for detection-as-code workflows.

Help Net Security·Sep 8, 13:43 UTC · 8d agoTools

Hamming Ideals and Grobner Bases for ISD-like Syndrome Decoding

Researchers combine Grobner bases with Information Set Decoding for syndrome decoding, testing feasibility against Classic McEliece NIST Category 1 parameters.

The paper proposes GBDecode, an ISD-like decoding algorithm that fixes only a subset of an information set and solves the resulting multivariate nonlinear systems via MultiSolve, which replaces one Grobner basis computation with many computations on simpler systems. Hamming weight constraints are reformulated using elementary symmetric functions and Lucas' identity factorizations to bound equation degree. Experiments on random binary linear codes use parameters matching the NIST Security Category 1 set of the Classic McEliece cryptosystem, assessing practical feasibility rather than breaking the scheme.

arXiv cs.CR·Sep 16, 16:05 UTC · 20h agoResearch

GeoJSON Map Viewer

Simon Willison built a GeoJSON map viewer with PNG export using GPT-5.6-Sol, Claude Code for web, and Fable 5.1.

Simon Willison describes building a GeoJSON map viewer that displays boundary files and exports maps as PNGs. GPT-5.6-Sol proactively offered to create the tool, and iterations used Claude Code for web and Fable 5.1. He also notes ChatGPT Work will assemble boundary polygons from government data sources when asked.

Simon Willison·Sep 1, 18:05 UTC · 15d agoAI tools & infra

Mercator ↔ Equal Earth

Simon Willison used GPT-6 Astra (medium) in ChatGPT Work to build an animated D3 transition between Mercator and Equal Earth map projections.

Willison built an animated transition between the Mercator and Equal Earth map projections using D3. The tool was generated by GPT-6 Astra (medium) in ChatGPT Work. Equal Earth is a projection recently voted on at the UN. The post is a vibe-coding demonstration rather than a security or major model event.

Simon Willison·Sep 7, 16:24 UTC · 9d agoAI tools & infra1

The Convergence of Space and Cyber: Evolving Threats in the Space Race 2.0

Recorded Future whitepaper warns nation-state cyber operations targeting satellites, ground stations and space supply chains will intensify during 'Space Race 2.0'.

Recorded Future's whitepaper argues that cyber operations will be decisive in the second space race, with espionage, destructive attacks, supply chain compromise and signal hijacking already affecting orbital assets and ground infrastructure. It predicts nation-states will extend cyber targeting toward deep-space ambitions such as lunar colonization and asteroid mining. The paper references the SPARTA adversarial framework and forums like Defence Space 24, and highlights US Space Command's integration of cyber and intelligence into space operations.

Recorded Future·Sep 9, 00:00 UTC · 8d agoResearch

gr-PHYSEC: Real-time Channel-based Key Generation for Physical Layer Secure Wireless Communications

gr-PHYSEC GNU Radio module derives symmetric encryption keys from wireless channel randomness using a neural network, validated on robotic platforms with ADALM-Pluto SDRs.

The paper introduces gr-PHYSEC, a GNU Radio out-of-tree module for real-time physical-layer key generation that derives symmetric keys from the wireless channel's inherent randomness instead of pre-shared secrets. A trained neural network extracts channel features between trusted parties during probe exchanges; features are quantized into binary keys, reconciled via Reed-Solomon encoding, and secured with SHA-512 hashing before direct use for encryption. Real-world experiments at the FAU CAAI connected robotics testbed using ADALM Pluto software-defined radios and NVIDIA Jetson Orin demonstrated low key disagreement rates and NIST-verified randomness. Source code is publicly available on GitHub.

arXiv cs.CR·Sep 14, 21:37 UTC · 2d agoResearch

Introducing WeatherNext 3, our most advanced and accurate global weather AI model

Google DeepMind launches WeatherNext 3, an AI weather model delivering hourly 5-km forecasts from live satellite data, now integrated across Google products.

WeatherNext 3 ingests live geostationary satellite mosaics and station observations through a Functional Generative Network (FGN) mesh transformer, producing hourly forecasts at 5-km surface resolution versus WeatherNext 2's 25-km, 6-hour grid. Independent live evaluations by Brightband rate it the most accurate global weather model to date. It adds renewable-energy variables such as 100-meter turbine-height wind speeds and solar radiation, and is integrated across Search, Gemini, Maps, Google Maps Platform, and Cloud.

Google DeepMind·Sep 3, 15:02 UTC · 13d agoModel release

GPT4Free Privacy Risks Expose AI Prompts to Third-Party Servers and Hidden Logsnew

Gen Digital researchers found GPT4Free's hosted chat routes prompts through third-party servers, mislabels models, and logs IPs and conversations for up to 30 days.

Gen Digital researchers tested the GPT4Free (G4F) hosted chat at g4f.dev and found requests routed through intermediary endpoints such as an OpenAI-compatible g4f.space endpoint before reaching providers like Google Gemini, sometimes returning different model identifiers such as gemini-3-flash-preview. Provider code referenced JSON files listing over 200 externally reachable Ollama and llama.cpp endpoints whose ownership and authorization were undisclosed. Code paths reportedly retain usage logs for 14 days (IP addresses, approximate geolocation, provider, model, conversation data) and error logs for 30 days, while Privacy Policy and Terms of Service links redirected to a member area instead of the documents.

GBHackers·12:04 UTC · 18m agoAI safety & security

Going with the Flow(s): Distinct Clusters Target Individuals of Interest to Russia

Suspected Russian clusters abuse OAuth and authentication flows to phish academia, defense, government, and think tank targets across Europe and the US.

Google Threat Intelligence Group (GTIG) is tracking three distinct suspected Russian cyber espionage clusters abusing legitimate authentication flows. Newly detailed clusters UNC7005 and UNC5976 conduct phishing, abuse OAuth flows, and/or deploy malware, alongside previously reported UNC6293 phishing operations. Targets include individuals in academia, aerospace and defense, governments, and think tanks across Europe, as well as academia and think tanks in the United States.

Google Threat Intelligence·Aug 20, 14:00 UTC · 27d agoThreat actor in the wild

Google’s AI weather model now uses more raw satellite data

Google launched WeatherNext 3, an AI weather model using raw satellite data that beats ECMWF and now powers Search, Gemini, and Maps.

Google released WeatherNext 3, an AI weather forecasting model that incorporates physical surface information (land/ocean type and elevation) to improve surface temperature and dewpoint calculations, improving point location temperature accuracy by up to 30 percent. Its white paper reports roughly 5 percent better upper-atmosphere accuracy than WeatherNext 2, equating to about six additional hours of forecast lead time, outperforming the ECMWF AI model on these metrics. The model now supplies forecast information across Google Search, Gemini, and Maps, though the paper notes unexplained short-lead degraded results and grid-shaped artifacts in some predictions.

Ars Technica · AI·Sep 8, 18:00 UTC · 8d agoModel release

Hackers Use LLMs to Generate Exploit Scripts and Automate Post-Exploitation Across Latin America

Unit 42 says Latin American attackers used LLMs to automate post-exploitation in campaigns hitting Mexican government, water utilities, and Brazilian financial firms.

Unit 42 identified two campaigns in Latin America whose operators used commercial LLMs (Claude, GPT-4.1) behind a self-hosted NextChat interface to generate and debug post-exploitation scripts. Cluster CL-CRI-1131 compromised a transportation organization, Mexican federal ministries, and water utilities in Mexico and Ecuador, using native Windows tools and Volume Shadow Copies to dump the SAM registry hive and NTDS.dit. Cluster CL-CRI-1163 targeted Brazilian financial organizations with job-themed phishing, custom RATs, and a Go-based reverse SOCKS5 tunneling utility called SockTz, with nine versions deployed within roughly two hours. Trend Micro tracks related AI-augmented activity as SHADOW-AETHER-040 and SHADOW-AETHER-064.

GBHackers·Sep 10, 06:02 UTC · 7d agoThreat actor in the wild1

When Agents Look Like Beacons: NIDS Evasion by Model Context Protocol Traffic

Research shows Model Context Protocol agent traffic structurally resembles C2 beaconing and evades Suricata signatures and RITA behavioral scoring in testbeds.

An arXiv study demonstrates that Model Context Protocol (MCP) JSON-RPC traffic over Streamable HTTP mimics the polling patterns of C2 frameworks like Cobalt Strike and is not flagged as anomalous by standard enterprise defenses. In a Docker testbed with eleven traffic profiles across three TLS conditions, Suricata with the Emerging Threats Open ruleset produced near-zero alerts and RITA assigned a consistent 0.0 beacon score, regardless of jitter or TLS inspection. The authors propose an agent-native network indication standard using Agent-Native ALPN and out-of-band headers.

arXiv cs.CR·Sep 16, 17:27 UTC · 18h agoResearch1

The Pelican comparison grid for Astra is pretty interesting

Simon Willison's pelican SVG comparison shows GPT-6 Astra producing markedly better images than GPT-5.6 Sol, Terra, and Luna across reasoning levels.

Willison generated pelicans-riding-bicycles SVGs with newly accessed GPT-6 Astra at low through max reasoning levels and rendered them in a comparison grid against GPT-5.6 Sol, Terra, and Luna. Astra's outputs were markedly more coherent, while even the best GPT-5.6-Sol images remained largely abstract shapes. Astra does not support a reasoning=none setting, so all comparisons involved reasoning-enabled runs.

Simon Willison·Sep 4, 23:59 UTC · 12d agoAI research

Project CAV3RN continues: Google Apps Script as C2 relay and DNS-based C2 channel selection

Project CAV3RN continues targeting Israel, using Google Apps Script C2 relays and DNS-based channel routing in a .NET NativeAOT framework.

Kaspersky Securelist documents the continuation of Project CAV3RN operations against Israel. The modular .NET NativeAOT framework uses Google Apps Script as a C2 relay and DNS-based C2 channel selection, blending command traffic with legitimate Google services to evade detection.

Kaspersky Securelist·Aug 11, 10:00 UTC · Aug 11, 2026Threat actor in the wild

OpenAI says GPT-6 Astra can find zero-days, but is also harder to monitor

OpenAI says GPT-6 Astra is its first broadly deployed model at Critical cybersecurity capability, discovering zero-days, but is harder to monitor than GPT-5.6 Sol.

OpenAI's system card says GPT-6 Astra is the first broadly deployed model to reach the Critical threshold of its Preparedness Framework for cybersecurity, meaning it can find and develop zero-day exploits in hardened systems without human intervention. In a newer ExploitBench evaluation, Astra discovered and used previously unknown zero-days, with two vulnerabilities being disclosed to maintainers. Astra produced 34 severity-3+ misalignment flags versus 73 for GPT-5.6 Sol, and indirect prompt injection robustness rose from 96.23% to 99.79%. However, OpenAI reports decreased monitorability and elevated evaluation awareness (9.6% of trajectories vs 2.8%), though it found no evidence of steganographic reasoning.

BleepingComputer·Sep 8, 14:40 UTC · 8d agoAI safety & security1

Frequently asked questions about the active threat to Siemens S7 Series PLCs

US government agencies warn that unattributed actors using AI-generated exploit scripts are targeting internet-exposed Siemens S7 PLCs in critical infrastructure.

A joint advisory from multiple U.S. government agencies warns that threat actors are exploiting known weaknesses and unnecessary internet exposure of Siemens S7 Series PLCs for reconnaissance and possible pre-positioning for future disruptive attacks. The attackers use AI to generate and refine exploit scripts faster than manual development would allow, lowering the technical bar for ICS attacks. There is no single patch, so defenders must reduce internet exposure and improve monitoring of ICS environments.

Tenable Blog·Aug 20, 14:01 UTC · 27d agoExploit / PoC in the wild

GPT-5.6-Cyber refuses security researchers’ requests far less often

Help Net Security·Aug 11, 00:00 UTC · Aug 11, 2026Exploit / PoCCVE-2026-15903

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.

arXiv cs.CR·Sep 9, 07:45 UTC · 8d agoResearch