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IDORacle: Template-Guided SQL-Sink Mediation for Object-Level Authorization in Java Applications

IDORacle intercepts MyBatis/JDBC SQL sinks to block horizontal privilege escalation in legacy Java apps with sub-millisecond guard latency.

IDORacle is a template-guided SQL-sink interception and rewriting framework that prevents IDOR/BOLA horizontal privilege escalation at runtime in Java database applications. It propagates authenticated identity context across HTTP requests, asynchronous tasks, and data-access boundaries via a server-side trace identifier, and computes dual SQL fingerprints at the MyBatis/JDBC boundary to generate reusable mediation plans. On a Java-SQL benchmark grounded in real-world CVE reports, it blocks tested violations with worst-case guard latency of 0.17 ms, reduced to 0.017 ms average for hot templates via redundancy-aware optimization.

arXiv cs.CR · 5d agoResearch1

Tables Decoded: DELTA for Structure, TARQA for Understanding

DELTA extracts tables into compact OTSL text and TARQA fine-tunes LLMs on it, beating VLM baselines on table QA.

DELTA separates physical structure recognition, logical structure recognition, and OCR to output tables in Optimised Table Structure Language (OTSL), a compact unified format encoding cell arrangements and content. It achieves TEDS-Structure scores comparable to state-of-the-art methods across FinTabNet, PubTabNet, and PubTables-1M, with robustness tested on a curated Hindi benchmark, TORQUE. TARQA, an LLM fine-tuned on OTSL sequences, gains 9.3 percentage points on WTQ TabQA and 9.2 points on FinTabNetQA TabVQA; code, models, and the benchmark are released on GitHub.

arXiv cs.AI / cs.LG / cs.CL · 19h agoAI research

MasterControl Seventeen Every Time

Governed enterprise analytics study shows deterministic policy execution matched 110/110 answer-and-evidence contracts while runtime agent planning matched none.

The paper studies a governed approach where a language model interprets the question while deterministic policy selects and runs a pre-approved analytical program returning results and evidence. Across 440 runs, three 8B models generated SQL and selected tools at runtime, while Qwen3-8B only interpreted intent and policy executed the approved program. None of 330 runtime-planning episodes satisfied the full answer-and-evidence contract, whereas the policy-executed analyzer matched 110 of 110. The authors note this is configuration-specific and expressiveness is preserved via relational operations, aggregation, comparison, windows, ranking, and similarity with replayable results.

Hugging Face daily papers · 14d agoAI research

Atlas: Efficient Verifiable Semantic Search

Atlas delivers zero-knowledge proofs for HNSW semantic search, verifying RAG retrieval in under a second on SIFT1M and 2.0 seconds at 100M vectors.

Atlas lets a search provider prove that a query was answered correctly against a committed HNSW index without revealing the index, addressing provider deviations like truncation or bias. It combines offline preprocessing, a fixed-size-state restructuring of HNSW with a correctness proof, and timestep-tagged batching of per-step arguments. The system proves queries in under a second on SIFT1M and 2.0 seconds at 100 million vectors while preserving plaintext HNSW recall, and proven retrieval maintains end-to-end RAG answer quality at lower cost than prior verifiable retrieval systems.

arXiv cs.CR · 5d agoResearch1

PostgreSQL Fixes 12-Year-Old Logical Decoding Flaw Enabling Replication-Role Code Execution

PostgreSQL fixed CVE-2026-6471 (CVSS 7.2), a 12-year-old logical decoding flaw letting replication-role accounts execute arbitrary code as the database OS user.

PostgreSQL patched CVE-2026-6471 (CVSS 7.2), a flaw present since logical decoding shipped in 9.4 (2014) that lets an account with the REPLICATION attribute run arbitrary code as the database server's OS user when wal_level is logical. Versions before 18.6, 17.11, 16.15, 15.19, and 14.24 are affected; exploitation requires such an account, which backup, CDC, and monitoring tooling routinely holds. The fix adds an output_plugin_libraries whitelist, so administrators using non-default plugins such as wal2json and decoderbufs must add them and reload configuration after updating. Cyera Research, whose write-up names the flaw PostGREShell, demonstrated escalating a replication user to superuser with persistence; no PoC or KEV entry existed as of September 4.

The Hacker News · 11d agoVulnerabilityCVE-2026-64711

Towards Scalable and Cost-Efficient Vulnerability Detection: A Study on Automatic Query Generation

A study finds LLM-synthesized CodeQL queries improve average F1-score by 82% over baseline queries, offering scalable vulnerability detection versus direct LLM scanning.

Researchers conducted an empirical study evaluating whether LLMs can synthesize executable CodeQL queries from National Vulnerability Database vulnerability data. LLM-generated queries significantly enhanced baseline CodeQL suites, yielding an 82% improvement in average F1-score across a diverse set of real-world vulnerabilities. A cost-benefit analysis shows direct LLM-based scanning of entire repositories is often computationally and financially prohibitive, while LLM query synthesis offers a scalable and cost-effective alternative for large-scale vulnerability detection.

arXiv cs.CR · 6d agoResearch1

CISA Warns of Microsoft SQL Server RCE Vulnerability Exploited in Attacks

CISA warns attackers are exploiting CVE-2019-1068, a remote code execution vulnerability in Microsoft SQL Server, to run malicious commands on database servers.

CISA warned that CVE-2019-1068, a remote code execution vulnerability in Microsoft SQL Server, is being exploited in active attacks. Successful exploitation allows an attacker to execute malicious commands on a vulnerable database server, with access limited to the privileges of the SQL Server service account. The warning signals active exploitation of a long-known flaw and makes patching a priority for organizations running affected SQL Server deployments.

CVE-2019-1068: A remote code execution vulnerability exists in ...

CISA added CVE-2019-1068, a high-severity remote code execution flaw in Microsoft SQL Server, to its KEV catalog after confirming exploitation in the wild.

CVE-2019-1068 (CVSS 8.8, CWE-20) is an improper input validation flaw allowing unauthenticated RCE in Microsoft SQL Server 2014 SP2/SP3, 2016, and 2017 on 32-bit and x64 builds. Exploitation requires low complexity and low privileges with no user interaction, and CISA formally added it to the KEV catalog on August 26, 2026. The CVE was originally published on July 15, 2019 and carries an EPSS score of 52.8%. Administrators must inventory affected SQL Server assets and apply vendor patches on an accelerated timeline.

LongAgent: History-Guided Agentic Search for Longitudinal Outcome Prediction

LongAgent autonomously searches variable sets and temporal windows to predict longitudinal medical outcomes, beating the strongest non-agent baseline on synthetic data.

The paper proposes LongAgent, an agent-based method that searches over combinations of variable sets, temporal windows and aggregation functions for outcome prediction on heterogeneous medical longitudinal data. It uses a history memory of previous searches and numerical evidence to guide exploration. On synthetic data it achieves mean RMSE 1.7376, improving over the best non-agent baseline by 0.0151 (95% CI [0.0045, 0.0260]; p=0.0273), and performs comparably to the best baseline on a real clinical dataset.

arXiv cs.AI / cs.LG / cs.CL · 1d agoAI research

datasette-mcp 0.2

Simon Willison released datasette-mcp 0.2, changing MCP SQL results to object arrays for better small-model usability.

Datasette-mcp 0.2 changes the execute_sql 'rows' output from an array of arrays to an array of objects, helping weaker models avoid losing track of positional column mappings. The plugin now depends on mcp>=2.1.1. This is the first non-alpha release, and the author reports using it extensively.

Simon Willison · 14d agoAI tools & infra

An Empirical Analysis of CodeQL False Positives and Query Refinements for Java Vulnerabilities

Study of 167 Java CVE instances finds CodeQL false positives follow recurring patterns; query refinements remove 81.8% of reviewed ones.

Researchers ran CodeQL's Java security query suite on 167 CVE instances from 110 projects, manually reviewing 500 sampled false-positive paths and building a five-category taxonomy led by Missed Path Constraint or Sanitization (36.6%), Benign Execution Context (29.4%), and Missing Trust Boundary Modeling (27.6%). Guided by the taxonomy, query-level refinements removed 81.8% of reviewed false positives and 15.8% of reported paths across the selected queries while retaining 7 of 8 true positives. To address generalization, agentic coding tools given the refinement patterns as templates adapted them to new projects successfully in 56% and 62% of tasks, versus 28% without guidance.

arXiv cs.CR · 12d agoResearch1

Inside the Metabase SQLi: Exploited in the Wild

Wiz reverse engineers Metabase SQLi CVE-2026-72898, exploited in the wild, using AI to speed defenses.

Wiz published an analysis of Metabase CVE-2026-72898, a SQL injection vulnerability that is being exploited in the wild. The write-up reverse engineers the flaw and applies AI to accelerate defensive guidance for responders. Organizations running Metabase should treat the flaw as actively targeted.

Wiz Blog · Aug 10, 2026Exploit / PoC in the wildCVE-2026-72898

[webapps] Payload CMS 3.72.0 - Blind SQL Injection

A proof-of-concept exploit for a blind SQL injection vulnerability in Payload CMS 3.72.0 has been published on Exploit-DB.

Exploit-DB lists a public proof-of-concept exploit for a blind SQL injection flaw in Payload CMS 3.72.0. The listing falls under the webapps category and allows reproduction of the injection. No in-the-wild exploitation or CVE identifier is stated in the listing.

Exploit-DB · 15d agoExploit / PoC

Akamai Valkey Managed Database: Real-Time Memory for Enterprise AI

Akamai launched Valkey Managed Database, a low-latency in-memory data layer aimed at cutting AI inference costs and accelerating RAG.

Akamai introduced Valkey Managed Database, a managed in-memory data service based on the open-source Valkey project. The company positions it as real-time memory for enterprise AI, optimizing inference costs, accelerating retrieval-augmented generation, and powering real-time AI agents.

Akamai Blog · 28d agoAI tools & infra

CVE-2026-82232: Apache Syncope: SQL injection via sort parameter in Task search

Apache Syncope's JPA persistence layer allows SQL injection via the sort parameter in Task search, affecting all releases through 4.1.2.

CVE-2026-82232 is rated important by upstream: improper neutralization of special elements in an SQL command allows SQL injection through the sort parameter in Task search within syncope-core-persistence-jpa. Affected versions are 3.0.0-M0 through 3.0.16, 4.0.0-M0 through 4.0.7, and 4.1.0-M0 through 4.1.2. No exploitation in the wild is reported.

Everything in Moderation: Per-Domain Coverage Optima and Alignment-Resistant Domain Gaps in Multi-Domain Mid-Training

Controlled mid-training experiments on Qwen3-8B-Base find each domain has a 10-40% coverage optimum and domain gaps survive alignment SFT.

Using Qwen3-8B-Base (with a 4B replication) across five semantically rule-disjoint KOR-Bench domains, the authors train 30 data allocations spanning the five-domain simplex at five seeds each. All five domains show interior optima in the moderate 10-40% coverage band, and domain gaps persist after a fixed-budget compensatory SFT pass, which raises 116/120 cells yet bridges 0/240 pairs at a 5% threshold. Zero coverage collapses mid-training-only accuracy, though a FineWeb-Edu-only control shows the collapse is partly generic drift. The results argue mid-training data composition requires principled design rather than reliance on later alignment.

arXiv cs.AI / cs.LG / cs.CL · 7d agoAI research1

Apache Superset SQL Injection Flaw Gets Public PoC Exploit

A public Python proof-of-concept exploit was released for CVE-2026-23980, an authenticated error-based SQL injection flaw in Apache Superset before 6.0.0.

A public proof-of-concept exploit repository now targets CVE-2026-23980, an error-based SQL injection affecting Apache Superset versions from 0.0.0 up to but not including 6.0.0. An authenticated user with read access can inject SQL through the sqlExpression or where parameters, potentially reaching business, customer, and security data depending on database configuration and privileges. Apache disclosed the flaw in February and urges upgrading to Superset 6.0.0; compensating controls include least-privilege database accounts, network restrictions, and log monitoring.

PostgreSQL Hit by 12-Year-Old Vulnerability Allowing Server Takeover

PostgreSQL flaw CVE-2026-6471, present since 2014, lets low-privilege replication accounts execute code and take over database servers; patches released.

Cyera researchers disclosed PostGREShell (CVE-2026-6471, CVSS 7.2), a missing-authorization bug in PostgreSQL logical decoding that lets users with REPLICATION privilege dlopen arbitrary files and execute code as the server account. The flaw affects PostgreSQL 9.4 through 18 and can yield privilege escalation, permanent superuser access and persistent backdoors on Windows, Linux and macOS. Fixes are available in versions 18.6, 17.11, 16.15, 15.19 and 14.24. Defenders should update and remove unnecessary Replication privileges.

Security Affairs · 11d agoVulnerabilityCVE-2026-64711

A Three-Layer Caching Architecture for Low-Latency LLM Web Search on Commodity CPU Hardware

OreoLook's three-layer Redis caching architecture cuts redundant LLM calls and embedding work for CPU-hosted web-search answer generation.

The paper describes a three-layer caching architecture for OreoLook (formerly lixSearch), an open-source LLM answer engine: a Redis session context window with Huffman-compressed disk overflow, a semantic query cache matching rephrasings via embedding cosine similarity, and a URL embedding cache deduplicating embedding computations. Deployed on a single 8-vCPU Intel Cascade Lake server with 30 Hypercorn workers across three containerized replicas, it achieved an 89.3% aggregate Redis keyspace hit rate, 0.1 ms read latency, and 1.38 MB memory overhead. An LRU eviction daemon migrates idle sessions to disk and rehydrates them for resumption hours or days later.

Hugging Face daily papers · Aug 11, 2026AI tools & infra1

USN-8765-1: python-sql vulnerability

Ubuntu patches python-sql SQL injection flaw where values passed to unary operators are incorrectly escaped.

Ubuntu Security Notice USN-8765-1 fixes a vulnerability in python-sql discovered by Cedric Krier. The library incorrectly escaped values passed to unary operators, allowing an attacker to potentially perform SQL injection attacks against applications using the library.

Ubuntu Security Notices · 21h agoAdvisory

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 · 8d agoAI research

Benchmark Radar: A Living Database and Search Engine for AI Benchmarks and Evaluation

Benchmark Radar provides a living searchable database of 1,283 AI benchmark records and 12,916 score observations drawn from 37 daily discovery sources.

Benchmark Radar combines daily discovery of benchmark papers, repositories, datasets, and releases from 13 direct connectors and 24 first-party feeds into a searchable catalog with model card mentions and score histories. The catalog contains 1,283 source records drawn from 4 benchmark catalogs plus 12,916 numeric observations on 790 records. The release includes a web dashboard with leaderboard, Pareto frontier of score versus usage, saturation and trend views, daily feeds, a CLI, and reproducible analysis. The paper audits the full catalog and examines benchmark saturation and limits of score comparisons.

Hugging Face daily papers · 6d agoAI research

τ^τ-Bench: An Environment for End-To-End, Realistic Agent Construction

New τ^τ-bench tasks coding agents with building deployable customer-service agents; best config, Claude Opus 5, passes only 23.9% of simulations.

Researchers introduce τ^τ-bench, an end-to-end benchmark where a developer agent must build a complete customer-service agent from real business records, a client with requirements, a production API, an inherited codebase, and cost/model limits, then is scored by deploying it against held-out simulated users. Across 53 tasks in four domains, the strongest configuration, Claude Opus 5 under Claude Code, passes just 23.9% of evaluation simulations versus an 82.2% expert-authored reference ceiling. Failure modes mirror those of human developers: shallow queries instead of deep record comprehension, almost no client communication, and shipping the first architecture that runs rather than experimenting.

Hugging Face daily papers · 12d agoAI research

IBIB: A Protocol for Measuring Enterprise AI Systems by Serving Route, Not Model Identifier

IB2 protocol scores enterprise AI systems by serving route with reliability-inclusive scoring; serving-arm choice moved one score from 77.38 to 82.54.

The protocol has three parts: a gold-blind capability-binding preflight verifying a route can execute the evaluation contract, a reliability-inclusive first-pass scoring rule, and structurally score-blind adjudication. Its reference instantiation uses 128 locked tasks and 987 assertions over document, spreadsheet, chart, tool, and database work, released as procedure and schemas rather than an exposed corpus. Across eleven systems, two complete runs on identical weights later failed distinct binding-gate predicates, four of seven suites saturate within a six-system band driven by governed database work and multi-tab joins, and excluding failed responses from denominators changes the point ordering. Serving-arm choice shifted one declared revision and precision from 77.38 to 82.54, though arms differed in access mode, harness generation, and the tool-call parser.

arXiv cs.AI / cs.LG / cs.CL · 6d agoAI research1

Opaque recurrence, and other AI terms that you should probably know

TechCrunch updates its plain-English glossary defining common AI terms from AGI and agents to chain-of-thought reasoning.

TechCrunch maintains a regularly updated glossary of AI terminology, defining terms such as AGI, AI agents, API endpoints, chain of thought, coding agents, compute, deep learning, and diffusion. It highlights 'opaque recurrence', the reasoning technique in OpenAI's new Astra model that has drawn attention from AI safety researchers. The piece is an educational living document rather than new research or a product announcement.

TechCrunch · AI · 8d agoAI industry

Decade-old PostgreSQL flaw turns backup account into a backdoor

Cyera disclosed CVE-2026-6471, a decade-old PostgreSQL flaw letting REPLICATION-attribute accounts achieve RCE and superuser compromise, patched August 13.

Cyera Research's 'PostGREShell' flaw exists in PostgreSQL's logical replication output plugin loading, where the replication code path never called the library-path security check, allowing path traversal or UNC paths to load arbitrary code. A low-privilege backup account can achieve code execution on Windows, Linux, and macOS, then escalate to superuser with persistent backdoor access. CVE-2026-6471 affects versions back to PostgreSQL 9.4 (2014) and was patched in releases 18.6, 17.11, 16.15, 15.19, and 14.24 on August 13. CVSS is 7.2, and no exploitation of this specific CVE has been confirmed, though VirusTotal hunting found 114 malicious PostgreSQL plugins.

CSO Online · 13d agoVulnerabilityCVE-2026-6471

Show HN: Engrim – A universal, local-first SQLite memory engine for AI CLIs

Developer launches Engrim, an open-source local-first SQLite memory engine giving AI CLI agents persistent memory.

Engrim, shared on Hacker News (89 points), is a universal, local-first memory layer built on SQLite for AI CLI tools. It targets agent-style CLI applications that need durable cross-session memory without cloud dependencies. Details beyond the repository description were not provided in the source text.

Revoked but Still Authoritative: An Empirical Study of Revocation Enforcement in Agent-Memory Systems

An empirical study finds no major agent-memory system enforces fact revocation at retrieval, causing agents to act on superseded, unsafe information.

Researchers tested five agent-memory systems across nine policy scenarios, nine models, and six defense conditions, tracking whether revoked facts are returned and acted upon. No system enforces revocation by default: revoked records are returned whenever the revocation label is visible to the retrieval layer, outrank their replacements, and lead agents to unsafe actions. The authors propose a backend-agnostic guard that sits between the agent and any memory store and withholds revoked or conflicting records at retrieval time.

arXiv cs.CR · 8d agoAI safety & security

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 · 11d agoAI research1