Search: “satellite-data”

An Empirical Security Analysis of Open-Source Software Used in Onboard Satellite Systems

Study of 126 onboard satellite OSS repositories finds 2,827 security findings, 72% medium severity or higher, dominated by memory safety and code quality weaknesses.

Researchers performed an empirical security analysis of 126 public repositories of open-source software used in onboard satellite systems using SBOM generation, software composition analysis, static application security testing, infrastructure-as-code analysis, and secret scanning. After cleaning and deduplication the pipeline produced 2,827 findings, with medium-severity findings accounting for 49% and 72% classified medium or higher. A CWE-based taxonomy mapped all findings to eight weakness families, with Memory Safety and Code Quality dominating, followed by Input Validation and Injection. Project-developed code accounted for 81.4% of findings, though external dependency code remained relevant; findings do not establish mission-specific exploitability.

arXiv cs.CR·Sep 14, 11:54 UTC · 2d agoResearch1

Latvian officials resign after cyberattack exposes data on 1.2 million people

Latvia's road traffic agency CSDD confirmed a breach exposing data on 1.2 million people and 200,000 businesses, prompting leadership resignations.

Latvia's Road Traffic Safety Directorate (CSDD) said hackers accessed payment receipt data dating back to 2008, covering over 1.2 million people and 200,000 legal entities, about two-thirds of Latvia's population. Stolen data includes personal ID numbers, license plates, payment amounts and addresses; phone numbers, emails and passwords were not affected. CERT.LV said attackers exploited a vulnerability in an internet-exposed CSDD system, and President Edgars Rinkevics called the breach a significant national security threat. The supervisory board resigned and chief Aivars Aksenoks said he will leave; state police opened criminal proceedings while responsibility with IT contractor Tet is disputed.

The Record·Aug 19, 13:55 UTC · 28d agoData breach

Massive Vietnam-Linked APIS Database Exposes Passport and Flight Data

Exposed Vietnam-linked APIS database held 220.8 million passenger and crew records with passport and flight data from January 2017 to April 2026.

Kinryū Labs discovered an exposed Elasticsearch cluster named 'pax-info' containing 220.8 million passenger and crew records, about 107 GB across 29 indices, hosted on IP space assigned to Viettel in Hanoi. The records include names, birth dates, nationalities, passport numbers, and detailed flight information from airlines across Asia-Pacific, Europe and the Middle East. Researchers reported the exposure on June 3 and the database was secured by June 8 with Singapore Airlines coordinating; no evidence of theft was found, but missing server logs mean access cannot be ruled out.

Security Affairs·Sep 8, 11:01 UTC · 8d agoData breach

Security Data Isn’t the Problem. Security Context Is.

Horizon3 blog argues security context, not data volume, is the SOC bottleneck, promoting its NodeZero integration with CrowdStrike Falcon Next-Gen SIEM.

Horizon3.ai published a vendor blog explaining how its NodeZero Proactive Security Platform integration with CrowdStrike Falcon Next-Gen SIEM brings validated exposure findings into existing security operations workflows. The post argues SOCs are now limited by confidence rather than visibility, needing context to decide which issues matter. It cites a global chemical manufacturer that validated exploitable exposures with NodeZero before completing a $2 billion merger.

Horizon3.ai·Sep 15, 13:12 UTC · 1d agoTools

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 · 7d agoResearch

220 million traveler records exposed in Vietnam-linked APIS leak

Vietnam-linked APIS Elasticsearch leak exposed 220 million passenger and crew records with passport numbers and flight details spanning 2017 to 2026.

Kinryū Labs discovered an exposed Elasticsearch cluster named 'pax-info' holding 210,318,069 passenger records and 10,465,631 crew records (roughly 107 GB across 29 indices) hosted in Viettel-assigned IP space in Hanoi. The database, apparently operated by a Vietnamese organization, was reachable via a chain of two misconfigurations: a cloud-based path that bypassed an HTTP 401 block and acceptance of default credentials. Exposed data included names, dates of birth, nationalities, passport numbers, and detailed flight information for travelers of many nationalities from January 2017 to April 2026. Access was remediated on June 8 after Kinryū Labs notified Vietnamese authorities, airlines, and CERTs, with Singapore Airlines' security team helping coordinate the response; it remains unknown whether any data was copied by malicious actors.

BleepingComputer·Sep 8, 07:35 UTC · 8d agoData breach1

18 ways to check whether data can be trusted for AI

ETSI published TR 104 180 defining 18 data quality metrics, including fairness and privacy, to assess whether datasets are fit for AI.

ETSI's technical report TR 104 180 defines 18 metrics across four groups - intrinsic quality, usability and lineage, fairness, and privacy - each with calculation formulas, plus an open-source tool that scores datasets. Testing on an aircraft engine sensor dataset and a US census dataset revealed a roughly threefold gender gap in high earners (about 31% of men versus 11% of women) and two privacy failures: re-identification via age, race, sex, and country, and sensitive fields stored in plaintext. The working group included Sejong University, EGM, TTA, Daejeon University, and CNIT.

Help Net Security·Sep 7, 00:00 UTC · 9d agoAI policy

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 · 7d agoModel release

Data from drones in Ukraine is fueling a new Wild West marketplace

Ukraine's defense ministry opened millions of battlefield drone data points to over 100 companies, fueling a fast-growing AI training data marketplace.

Ukraine's Ministry of Defense announced in January it would make millions of data points from tens of thousands of drone flights available to military contractors and commercial companies, with more than 100 companies and the UK government gaining access. Enabled Intelligence says it has processed over 500,000 hours of Ukrainian drone footage for use in future AI training. The article argues this creates a commercial battlefield-data marketplace with risks including lost training-data provenance, an extractive economy benefiting wealthier countries, and a governance vacuum requiring international rules.

MIT Technology Review · AI·Sep 4, 09:25 UTC · 12d agoAI industry1

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 · 1d agoResearch

Mathspace Data Breach Exposes Over 1 Million People

Mathspace breach exposed data of 1,079,819 Australian and New Zealand users via exploited Metabase zero-day CVE-2026-72898; ShinyHunters claimed responsibility.

Mathspace disclosed a breach affecting 1,079,819 students, teachers, staff, and parents in Australia and New Zealand. Attackers exploited the Metabase SQL injection zero-day CVE-2026-72898 (CVSS 10), patched August 6, and accessed Mathspace's self-hosted instance from August 10; ShinyHunters claimed the Metabase hacks. Exposed data includes names, usernames, emails, and login dates; no passwords, academic records, or credentials were taken.

SecurityWeek·Sep 8, 10:47 UTC · 8d agoData breach in the wildCVE-2026-72898

What the Data Says About AI in Security Operations in 2026

Prophet Security's 2026 survey of 250+ security pros: 40% use AI daily; AI users report 25%+ faster investigations and rising AI-driven attacks.

Prophet Security's State of AI in Security Operations 2026 report, based on a survey of 250+ cybersecurity professionals, found 40% of security teams use AI daily and only 4% have no adoption plans. Teams average 100 daily alerts (up to 1,000 at large firms), leave 28% of alerts uninvestigated, and 60% of respondents said missed alerts led to breaches or downtime. Among AI adopters, 72% report at least 25% faster investigations, 56% observed increased AI-driven attacks, and no respondents grant AI full unsupervised autonomy. Data privacy (44%) and explainability (41%) top the adoption hurdles.

The Hacker News·Aug 27, 11:30 UTC · 20d agoIndustry

The SEC Bought Airline Data to Monitor Flights Worldwide

404 Media·Aug 4, 17:48 UTC · Aug 4, 2026Policy & legal

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 · 1d agoResearch

Grouped Value Attention: Efficient KV Caching via On-Demand Key Reconstruction

Grouped Value Attention stores grouped values and reconstructs content keys via a learned linear map, cutting KV-cache size about 45-47% versus GQA.

GVA stores only grouped values and reconstructs content keys with a learned linear map absorbed into the query at decode time, while a small shared decoupled RoPE channel preserves positional information via a separately cached positional key. At 350M parameters trained on 30B FineWeb-Edu tokens, the 16-dimensional positional variant scores 44.18 average accuracy across five tasks versus 44.36 for GQA and 43.88 for MLA. Custom decoding kernels are in development with an open-source release planned.

Hugging Face daily papers·Sep 7, 20:00 UTC · 8d agoAI research

Molecular Déjà Vu: Digit-Level Retrieval of Published Values in Frontier Language Models

Audit of 22 frontier models finds widespread verbatim retrieval of published molecular property values, with higher reasoning increasing recall of memorized numbers.

An arXiv audit tests 22 frontier LLMs across 12 molecular regression benchmarks for verbatim retrieval of published values. More than 50% of the LLMs show verbatim retrieval on five datasets, and identical experiments are flagged 89% more often at a high reasoning level than at the lowest one. Suppressing retrieval moves model prediction errors closer together in relative terms, suggesting predictive capability is not determined solely by memorized values.

arXiv cs.AI / cs.LG / cs.CL·Sep 4, 17:32 UTC · 11d agoAI research1

ICE Wants the Country’s Voter Data

ICE seeks a federal contractor to access national voter registration and history files, citing fraud detection ahead of the midterm elections.

Procurement records reviewed by 404 Media show ICE seeking a federal contractor to provide access to US voter registration and voter history data to help detect fraud. Observers question whether the data will support immigration enforcement actions ahead of the midterms, given the administration's use of fraud as a pretense. The paywalled article provides few further details.

404 Media·Aug 25, 18:16 UTC · 21d agoPolicy & legal

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·Sep 7, 18:38 UTC · 8d agoAI research

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 · 14d agoAI tools & infra

Mathspace discloses data breach affecting over 1 million people

Mathspace disclosed a Metabase breach exposing data of 1,079,819 students, parents, and staff in Australia and New Zealand.

Mathspace confirmed attackers exploited a vulnerability in its self-hosted Metabase reporting system, gaining administrator access without legitimate login and downloading data on over 1 million people (1,079,819 total) in Australia and New Zealand. Access began August 10, data was downloaded August 27, and the theft was confirmed September 3, 2026. No credentials, academic records, or school-account links were exposed, but affected individuals are warned of targeted phishing. The incident joins a broader campaign against Metabase instances, including Trezor's provider ShipMonk, Framework, and Tally, linked to ShinyHunters via extortion emails and leak-site listings.

BleepingComputer·Sep 7, 13:05 UTC · 9d agoData breach in the wild

DataFlex-RL: An Evaluation Platform for RLVR Data Policies

DataFlex-RL benchmark of 13 RLVR data policies on Qwen2.5-7B finds none reproducibly beats uniform sampling under matched GRPO training.

DataFlex-RL is an evaluation platform comparing rollout-selection, reweighting, and mixture data policies for RLVR under a common GRPO recipe. Across 13 configurations and 12 matched seeds with Qwen2.5-7B-Base on 12 math, logic, and science benchmarks, uniform GRPO improved domain-balanced accuracy by 7.76 points, but no alternative policy achieved a statistically significant improvement. A corrected 12-seed Llama-3.1-8B-Base extension found no consistent winner, and math-heavy evaluation summaries were negatively correlated (-0.33) with domain-balanced summaries.

Hugging Face daily papers·Sep 4, 20:00 UTC · 11d agoAI research

Mathspace breach exposes data on over a million students and parents

Mathspace confirmed attackers exploited an unpatched Metabase SQL injection flaw to steal personal data of 1,079,819 students, parents, and staff in Australia and New Zealand.

Attackers accessed Mathspace's self-hosted Metabase reporting system without legitimate login, with unauthorized access dating back to 10 August 2026 and data downloaded on 27 August. Exposed data includes names, usernames, email addresses, country, and account metadata; no passwords, academic records, SSO tokens, or API credentials were taken. Framework, Tally, and Kilo Code disclosed similar breaches via the same Metabase SQL injection flaw in August 2026.

Help Net Security·Sep 8, 08:45 UTC · 8d agoData breach in the wild

Cross-Domain Inference for Human Localization: Applying Wi-Fi RSSI Data to CSI-Trained Models

Researchers show CSI-trained Wi-Fi models can localize people from RSSI data at ~80% confidence, enabling privacy attacks from ordinary IoT devices.

The paper investigates cross-domain inference, feeding RSSI data into an existing CSI-based Wi-Fi pose prediction model. RSSI is accessible on IoT devices without elevated OS permissions or specialized drivers, unlike CSI. Using an RSSI dataset synchronized with video ground truth, the model predicted human locations with approximately 80% confidence when movement was present. The results imply a wide range of commodity IoT devices could be used for privacy invasion in Wi-Fi-dense environments.

arXiv cs.CR·Sep 15, 13:56 UTC · 1d agoResearch

Now everyone can put data to work

OpenAI launched a Data agent in ChatGPT Work that connects to enterprise warehouses and builds shareable analysis dashboards without SQL.

OpenAI introduced a Data agent in ChatGPT Work that connects to approved sources including Snowflake, BigQuery, Databricks, Redshift, ClickHouse, MongoDB, and Datadog, plus files from Google Drive and SharePoint. It investigates metric changes, builds interactive dashboards, and integrates with BI tools such as Power BI, Tableau, Omni, Sigma, and ThoughtSpot using semantic layers from dbt, Databricks Genie Ontology, and Snowflake Horizon. Queries enforce the connected account's existing table, row, and column permissions, with administrators controlling access via Workspace settings. OpenAI says nearly all of its product team and over two-thirds of its GTM organization use it internally, and NTT Data, Thermo Fisher, and ServicePiston are Alpha customers.

OpenAI News·Sep 10, 15:00 UTC · 5d agoAI industry

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 · 4d agoAI industryHN 23↑ · 32 comments

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 · 8d agoAI tools & infra1

NCP-ArchPreview Technical Report: Moving towards Latent Space Language Models through Next Concept Prediction

An 8.9B-parameter latent-space language model using next-concept prediction matches OLMo-3-7B pretraining loss with only 51.3% of the training tokens.

NCP-ArchPreview augments next-token prediction with Next Concept Prediction over a product-quantized concept vocabulary built from hidden states, trained jointly end-to-end. The 8.9B model was trained on 5.73T tokens from the Dolma-3 dataset, the largest latent-space language model demonstration to date. It consumes 51.3% of the tokens to reach OLMo-3-7B's final pretraining loss and outperforms it by 2.45 points on the downstream macro-average, including a 5.99-point GSM8K gain. The learned latent space also enables lightweight domain adaptation via a 17M-parameter VQ module and improves speculative drafting accepted length by 4.17%.

Hugging Face daily papers·Sep 8, 20:00 UTC · 7d agoAI research1

GeoServer Zero-Day Is Already Being Probed. That’s the Problem

Unpatched GeoServer zero-day enabling SQL injection and possible RCE is being actively probed across exposed systems.

A zero-day in GeoServer's jsonArrayContains functionality allows unauthorized SQL injection and, in some configurations, remote code execution. Disclosed on August 12, 2026 without a CVE ID, it drew hundreds of exploitation probes from watchTowr within hours. No patch is available yet; GeoServer was previously mass-exploited via CVE-2024-36401.

Security Affairs·Aug 15, 07:18 UTC · Aug 15, 2026Exploit / PoC in the wildCVE-2024-36401

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

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