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Aug 14, 2026Latest
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◬ AI & Machine Learning Aug 14, 2026
InSPECtor: Improving SLEIGH Processor Specification Veracity via Proxy

arXiv:2608.13042v1 Announce Type: new Abstract: Processor specifications underpin critical security and program- analysis tools such as disassemblers, decompilers, and emulators, yet, their correctnes…

arXiv Security Read →
◬ AI & Machine Learning Aug 14, 2026
InterSAGE: The Secure and Verifiable Interoperability Protocol for An Internet of Agents

arXiv:2608.13030v1 Announce Type: new Abstract: The emerging Internet of Agents enables LLM-powered agents to discover peers, invoke tools, and delegate tasks across organizational boundaries. Existin…

arXiv Security Read →
◬ AI & Machine Learning Aug 14, 2026
OmniSphinx: Active Mix Networks (Extended Version)

arXiv:2608.13008v1 Announce Type: new Abstract: Mix networks are an important tool to implement anonymous communication, which protects not just the content but also the metadata of messages. Over tim…

arXiv Security Read →
◬ AI & Machine Learning Aug 14, 2026
ATOBench: Tracing How Autonomous Penetration-Testing Agents Verify Vulnerabilities When Target Evidence Lies

arXiv:2608.12996v1 Announce Type: new Abstract: Autonomous penetration-testing agents rely on target responses. These responses guide both subsequent actions and the final report. A deceptive response…

arXiv Security Read →
◬ AI & Machine Learning Aug 14, 2026
Beyond Handcrafted Security: Towards Self-Evolving Defense for LLM Agents

arXiv:2608.12977v1 Announce Type: new Abstract: The expanding operational capabilities of large language model (LLM) agents introduce sophisticated security threats. Runtime defenses have emerged as a…

arXiv Security Read →
◬ AI & Machine Learning Aug 14, 2026
Adversarial Robustness in Smishing Detection: A Comparative Analysis of Adversarial Fragility in Classical vs. Transformer-Based Detection Systems

arXiv:2608.12889v1 Announce Type: new Abstract: Smishing detection systems are commonly trained and evaluated on clean, monolingual text. In low-resource settings, however, attackers frequently circum…

arXiv Security Read →
◬ AI & Machine Learning Aug 14, 2026
Labels Are Not Endpoints: Treatment Leakage and Construct Validity in MCP Agent Security Evaluation

arXiv:2608.12880v1 Announce Type: new Abstract: Security evaluations of tool-using agents often equate stored labels with behavioral facts. We audit a preserved campaign by tracing 10,200 execution ro…

arXiv Security Read →
◬ AI & Machine Learning Aug 14, 2026
Discovering Persistent Behavioural Patterns for Interpretable Blockchain Forensics

arXiv:2608.12864v1 Announce Type: new Abstract: Public blockchain data enables large-scale DeFi-related analysis, but many existing approaches are application-specific, difficult to scale, or hard to …

arXiv Security Read →
◬ AI & Machine Learning Aug 14, 2026
Beyond Source: An Empirical Study of Python Bytecode Security Risks

arXiv:2608.12853v1 Announce Type: new Abstract: Python package security is largely source-centric, yet Python runtimes can execute bytecode directly through .pyc files, compiled-only modules, and mars…

arXiv Security Read →
◬ AI & Machine Learning Aug 14, 2026
RealmEye: Virtual Machine Introspection for Arm CCA Realm VMs

arXiv:2608.12822v1 Announce Type: new Abstract: Confidential VMs (CVMs) have become the dominant substrate for sensitive cloud workloads, from financial services to privacy-preserving AI inference. Th…

arXiv Security Read →
◬ AI & Machine Learning Aug 14, 2026
PIPES: Securing Agent Perception with Provenance and Priors

arXiv:2608.12789v1 Announce Type: new Abstract: Tool-using agents consume external data from sources with different levels of trust, yet tool responses rarely identify who produced each component or w…

arXiv Security Read →
◬ AI & Machine Learning Aug 14, 2026
Tracing Provenance and Detecting Tampering with Complementary LLM Watermarks

arXiv:2608.12713v1 Announce Type: new Abstract: Watermarking LLM-generated text is an important task for tracing its provenance. Existing LLM watermarks preserve provenance under editing, but this sam…

arXiv Security Read →
◬ AI & Machine Learning Aug 14, 2026
SoK: From Generation to Consumption of Privacy Documents in Software Systems

arXiv:2608.12511v1 Announce Type: new Abstract: Privacy documents (e.g., privacy policies) are a central mechanism through which digital services disclose data practices and seek user consent. Over th…

arXiv Security Read →
◬ AI & Machine Learning Aug 14, 2026
Non-Degenerate Risk Certification for Automated Security Decisions: A Decision-Contract Theory with ATT\&CK-Aligned Triage as a Worked Instance

arXiv:2608.12444v1 Announce Type: new Abstract: An unconditional risk bound on automated decisions can be satisfied without automating anything, since a selector that never acts drives the bound to ze…

arXiv Security Read →
◬ AI & Machine Learning Aug 14, 2026
The energetic cost of mitigating AI attacks in cellular networks

arXiv:2608.12431v1 Announce Type: new Abstract: The integration of Artificial Intelligence (AI), generally as Machine Learning (ML) algorithms, in all levels and aspects of cellular networks demonstra…

arXiv Security Read →
◬ AI & Machine Learning Aug 14, 2026
DCBA: Detection of Collaborative Black-Hole Attacks in Connected Dominated Set using Baiting Process

arXiv:2608.12347v1 Announce Type: new Abstract: Mobile Ad-hoc Network (MANET) is temporary and dynamic network topology, wherein nodes are mobile in nature and distributed randomly in a network area. …

arXiv Security Read →
⬡ Vulnerabilities & CVEs Aug 14, 2026
CVE-2026-19811 | TOTOLINK A800R 4.1.2cu.5137_B20200730 firewall.so /cgi-bin/cstecgi.cgi setIpQosRules Comment stack-based overflow

A vulnerability was found in TOTOLINK A800R 4.1.2cu.5137_B20200730 and classified as critical . The impacted element is the function setIpQosRules of the file /cgi-bin/cstecgi.cgi of the component fir…

VulDB Read →
⬡ Vulnerabilities & CVEs Aug 14, 2026
CVE-2026-19812 | TOTOLINK A800R 4.1.2cu.5137_B20200730 product.so /cgi-bin/cstecgi.cgi UploadCustomModule File stack-based overflow

A vulnerability was found in TOTOLINK A800R 4.1.2cu.5137_B20200730 . It has been classified as critical . This affects the function UploadCustomModule of the file /cgi-bin/cstecgi.cgi of the component…

VulDB Read →
⬡ Vulnerabilities & CVEs Aug 14, 2026
CVE-2026-19813 | TOTOLINK A800R 4.1.2cu.5137_B20200730 firewall.so /cgi-bin/cstecgi.cgi setMacFilterRules Comment stack-based overflow

A vulnerability was found in TOTOLINK A800R 4.1.2cu.5137_B20200730 . It has been declared as critical . This impacts the function setMacFilterRules of the file /cgi-bin/cstecgi.cgi of the component fi…

VulDB Read →
⬡ Vulnerabilities & CVEs Aug 14, 2026
CVE-2026-19814 | TOTOLINK A800R 4.1.2cu.5137_B20200730 firewall.so /cgi-bin/cstecgi.cgi setMacQos macAddress stack-based overflow

A vulnerability was found in TOTOLINK A800R 4.1.2cu.5137_B20200730 . It has been rated as critical . Affected is the function setMacQos of the file /cgi-bin/cstecgi.cgi of the component firewall.so . …

VulDB Read →
⬡ Vulnerabilities & CVEs Aug 14, 2026
CVE-2026-19815 | TOTOLINK A800R 4.1.2cu.5137_B20200730 firewall.so /cgi-bin/cstecgi.cgi setParentalRules urlKeyword stack-based overflow

A vulnerability categorized as critical has been discovered in TOTOLINK A800R 4.1.2cu.5137_B20200730 . Affected by this vulnerability is the function setParentalRules of the file /cgi-bin/cstecgi.cgi …

VulDB Read →
⬡ Vulnerabilities & CVEs Aug 14, 2026
CVE-2026-18109 | boldgrid W3 Total Cache Plugin up to 2.10.3 on WordPress Lazy Load Images cross site scripting

A vulnerability identified as problematic has been detected in boldgrid W3 Total Cache Plugin up to 2.10.3 on WordPress. Affected by this issue is some unknown functionality of the component Lazy Load…

VulDB Read →
◉ Threat Intelligence Aug 14, 2026
ISC Stormcast For Friday, August 14th, 2026 https://isc.sans.edu/podcastdetail/10052, (Fri, Aug 14th)
SANS ISC Read →
◇ Industry News & Leadership Aug 14, 2026
Apple Urges Mercenary Spyware Targets to Enable Lockdown Mode Immediately

Apple has quietly rolled out a new wave of high-confidence “Apple Threat Notification” alerts, warning selected iPhone users in 110 countries that their devices may be targeted by government-grade mer…

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