Search: “injecteave”

Injected and Leaked: Actively Inducing Side-Channel Leakage Using Electromagnetic Injection and Hardware Nonlinearity

Researchers introduce InjectEave, using electromagnetic injection and hardware nonlinearity to induce side-channel leakage and eavesdrop on headphone audio from 30 meters.

An arXiv paper shows electromagnetic injection can actively amplify side-channel leakage: nonlinear hardware such as amplifiers, ADCs, and power converters modulates secret electrical signals onto an injected EM carrier, upconverting low-frequency secrets into measurable EM emissions. By tuning injection frequency and amplitude, an adversary can shape the effective spectrum and entropy of the resulting leakage. The InjectEave attack demonstrated eavesdropping on wired and wireless headphone audio from up to 30 meters and in through-wall scenarios using accessible RF equipment, plus leakage of smart home device power consumption and analog sensor inputs. Case studies show closed-loop eavesdropping and manipulation of landline phone conversations, and the paper discusses mitigations.

arXiv cs.CR·Sep 4, 06:22 UTC · 12d agoResearch

Flextype v1.0.0-alpha.3 Stored Arbitrary Expression Injection in ExpressionsDirective Allows Arbitrary File Read

Flextype CMS v1.0.0-alpha.3 stores unsanitized expressions in entries, letting privileged authenticated users achieve arbitrary file read when fields are parsed.

Flextype CMS v1.0.0-alpha.3 contains a stored arbitrary expression injection flaw in the Entries ExpressionsDirective. An authenticated user with privileges to create or modify entries can persist arbitrary expression syntax in an entry field. When the field is later retrieved or processed, the stored value is passed to parsers()->expressions()->parse(), leading to arbitrary file read on the server.

Full Disclosure·Sep 4, 00:13 UTC · 12d agoVulnerability 8 sources

In Other News: InjectEave Attack, SIM Swapper Sentenced, Glasswing Findings Review

SecurityWeek weekly roundup covers exploited WordPress Super Forms flaw CVE-2026-14894, a $10M bounty on an Iranian cyber official, InjectEave attacks, and more.

SecurityWeek's weekly roundup aggregates short items across the threat landscape, including Microsoft's report of invisible Unicode tag characters used in financial phishing lures at up to 2.37 million messages per day, and active exploitation of critical WordPress Super Forms plugin flaw CVE-2026-14894 to deploy PHP webshells. Policy items include a $10 million US bounty for IRGC-CEC Cyber Operations Command lead Amir Yaryab, a 16-month prison sentence for ex-AT&T employee Kenneth Carter over SIM swaps with nearly $600,000 in intended losses, and the US arraignment of Russian Sergei Anatolyevich Filimonov over credential harvesting. Technical items include InjectEave electromagnetic side-channel attacks tested on 11 devices, an FBI warning on OAuth consent phishing, and VulnCheck's finding that only 202 of 26,153 Anthropic Project Glasswing findings were fixed.

SecurityWeek·Sep 11, 14:19 UTC · 5d agoIndustry in the wildCVE-2026-148942

Corrupt Plans, Clean Traces: Evading Chain-of-Thought Monitoring with Plan Injection

Plan injection plants benign-sounding harmful reasoning that steers LLM actors to adversarial actions while evading chain-of-thought monitors.

Researchers show that injecting harmful but benign-sounding plans into an actor model's context causes it to perform adversarial actions while its reasoning passes chain-of-thought monitors, achieving 25-33% monitor evasion rates across benchmarks and scaling to larger models like DeepSeek-R1. Actor models paraphrase injected plans as their own reasoning without attribution. Giving the monitor access to the injected plan dropped detection by up to 50% on the Bio-Math task, with extra thinking tokens spent rationalizing rather than flagging the plan.

arXiv cs.AI / cs.LG / cs.CL·Sep 14, 18:33 UTC · 2d agoAI safety & security

Weekly Cybersecurity Newsletter – Top 50 Biggest Cybersecurity Stories of the Week

GBHackers weekly digest rounds up 50 stories including Microsoft's 973-CVE patch drop, exploited Cisco FMC flaws, and Claude agent attacks.

GBHackers' September 7-12, 2026 newsletter summarizes the 50 biggest cybersecurity stories of the week. Highlights include Microsoft patching a record 973 CVEs with two exploited zero-days, active exploitation of Cisco FMC, Check Point VPN and Ivanti flaws, China-linked crews chaining Chrome and Windows zero-days, AI agents mass-exploiting PaperCut to compromise 440 servers, and the emergence of Panzer cross-platform ransomware. It also covers Anthropic and OpenAI agentic AI incidents and CrowdStrike's SafeMind launch.

GBHackers·Sep 15, 11:44 UTC · 1d agoIndustry in the wild

GitLab Vulnerability Exploited One Day After Disclosure

WatchTowr observed in-the-wild exploitation of critical GitLab path traversal CVE-2026-85706 one day after disclosure, letting unauthenticated attackers read arbitrary files.

WatchTowr detected the first in-the-wild probes for CVE-2026-85706 (CVSS 10.0), an unauthenticated path traversal in GitLab CE/EE that allows arbitrary file reads via a single HTTP request, and warns mass exploitation is likely. Affected versions include 18.7 before 19.1.8, 19.2 before 19.2.6, and 19.3 before 19.3.2. The fresh patches also fix 17 other vulnerabilities, including CVE-2026-87719 (CVSS 9.9), an insecure deserialization flaw in the GraphQL subscription serializer exposing Advanced Search credentials, plus six high-severity bugs enabling RCE, CI/CD variable access, XSS, and denial of service.

SecurityWeek·updated Sep 15, 00:52 UTC · 1d ago·first Sep 11, 16:11 UTC · 5d agoExploit / PoC in the wild 18 sourcesCVE-2026-85706CVE-2026-877192· 1 read

[remote] mcp-server-kubernetes 3.8.x - Argument Injection

Argument injection in mcp-server-kubernetes 3.8.x MCP server could allow AI clients to execute unintended Kubernetes operations.

Exploit-DB entry 52638 documents an argument injection vulnerability in mcp-server-kubernetes version 3.8.x, a Model Context Protocol server that lets AI assistants interact with Kubernetes clusters. Crafted input can inject additional arguments into commands executed by the server, potentially enabling unauthorized operations or command execution against the cluster. This highlights growing security concerns around MCP servers bridging LLM agents and infrastructure.

Exploit-DB·Aug 11, 00:00 UTC · Aug 11, 2026Exploit / PoC

Virtual Event Today: Attack Surface Management Summit

SecurityWeek's 2026 Attack Surface Management Summit runs today as a virtual event covering asset discovery, SBOMs, red teaming, and pen-testing.

SecurityWeek is hosting its fully virtual 2026 Attack Surface Management Summit from 11AM-3PM, focused on continuous asset discovery, prioritization, and risk reduction. Sessions cover proving exploitability, SBOM and AIBOM software supply chain risk with Dr. Allan Friedman, demos from Wiz and Horizon3's NodeZero, and the roles of red teaming, bug bounty, and penetration testing in enterprise defense.

SecurityWeek·14:35 UTC · 6h agoIndustry

Prompt Injection Remains Biggest LLM Risk, Despite Limited Incidents

Infosecurity Magazine·Aug 5, 11:00 UTC · Aug 5, 2026AI safety & security

New Interrupt Injection Attack Can Bypass Spectre v2 Defenses on Intel and AMD CPUs

The Hacker News·Aug 8, 10:51 UTC · Aug 8, 2026VulnerabilityCVE-2023-20569

Repeat-After-Me: Black-Box Adaptive Visual Prompt Injection

Researchers unveil Repeat-After-Me, a black-box visual prompt injection achieving over 80% success on Qwen3.6-27B and 47% on GPT-5.5.

Researchers present Repeat-After-Me, a black-box adaptive visual prompt injection that induces frontier VLMs to reveal PII or make malicious tool calls via injected images. It exceeds 80% attack success rate on Qwen3.6-27B and 47% on GPT-5.5 even when the benign user prompt is unrelated and does not authorize the injected task. In a real-world OpenClaw Discord deployment, a minimally injected image can overwrite TOOLS.md, enabling later remote code execution and secret exfiltration.

arXiv cs.CR·Sep 3, 22:44 UTC · 12d agoAI safety & security

ActGuard: Pre-execution Action Auditing against Indirect Prompt Injection in LLM Agents

ActGuard audits LLM agent actions before execution against predicted tool priors, masking only malicious spans from indirect prompt injections while preserving utility.

ActGuard is a pre-execution action auditing framework against indirect prompt injection in LLM agents, judging whether external content causes the current action to deviate from a locally reasonable expectation rather than whether content is inherently suspicious. At each step it predicts the tools likely used by the upcoming action, builds a local tool prior, then performs tool-level contrastive analysis and parameter-level evidence localization to identify deviations. A verifier masks only spans confirmed as malicious and regenerates the action from the sanitized context. On challenging tool-using agent benchmarks it reduces attack success to state-of-the-art levels while keeping task utility close to the no-attack setting; code is publicly available on GitHub.

arXiv cs.CR·Sep 14, 03:47 UTC · 2d agoAI safety & security

VU#308749: Remote Code Execution and Arbitrary File Read Vulnerabilities in Kaltura Servers

Insecure deserialization in Kaltura's legacy HTML5 Player V2 (mwEmbed) allows arbitrary file read and remote code execution; Player V7 is unaffected.

CERT/CC issued VU#308749 for two flaws in Kaltura's HTML5 Player V2 library (mwEmbed/html5lib), both caused by the same insecure deserialization bug. The flaws enable arbitrary file read and remote code execution via the exposed mwEmbedLoader.php endpoint. Affected versions include html5lib v2.45, v2.103 and earlier, and other v2.x releases; the currently supported Player V7 is unaffected. No evidence of exploitation was cited.

CERT/CC Vulnerability Notes·Aug 25, 16:11 UTC · 22d agoVulnerability

Grok exfiltrates user data when malicious instructions are encrypted

Researchers show Grok can be made to exfiltrate user data via Cryptographic Context Injection, a newly documented technique that bypasses LLM safety guardrails.

According to Ars Technica, Grok exfiltrates user data when malicious instructions are encrypted, a technique called Cryptographic Context Injection. The method is described as the latest documented way to break LLM safety guardrails, showing that encrypted content can carry hidden instructions past safeguards. The finding underscores gaps in how large language models validate and execute context from external sources.

Ars Technica · Security·Aug 20, 13:00 UTC · 27d agoAI safety & security1

CARDEA: Auditable Reasoning Grounded in Spatial Evidence for End-to-End Coronary Angiography Interpretation

CARDEA, a vision-language model trained only on public data, matches cardiologists on coronary angiography complexity assessment while exposing auditable bounding-box evidence.

CARDEA is a unified large vision-language model serving as the inference core of an end-to-end coronary angiography pipeline from multi-view videos to study-level diagnosis. It was trained on public datasets through visual alignment, self-distilled Chain-of-Box cold start, and reinforcement learning with verifiable rewards encouraging bounding-box reasoning. It reached 0.91 accuracy on dominance classification under domain shift and 0.90 on complexity assessment, comparable to two interventional cardiologists. RLVR raised zero-shot report generation vessel-severity macro-F1 from 0.513 to 0.686, while supervised imitation alone did not.

Hugging Face daily papers·Sep 6, 20:00 UTC · 10d agoAI research

Amazon Kiro Prompt Injection Can Exfiltrate Sensitive Data Through Kiro Powers

Mindgard found a prompt injection flaw in Amazon Kiro IDE letting attacker-controlled workspace files exfiltrate sensitive local data; fixed in version 0.8.140.

Mindgard disclosed a prompt injection flaw in Amazon Kiro, an agentic AI IDE, that lets attacker-controlled repository content steer the agent into exfiltrating sensitive workspace data through Kiro Powers, which bundles MCP server configurations, POWER.md steering files, hooks, and contextual knowledge. Exploitation requires the user to open a malicious project via a workspace file and send any message to the agent; difficulty is rated low and it works in both trusted and untrusted workspaces. Amazon fixed the issue in Kiro IDE 0.8.140; the flaw has no CVE identifier and follows earlier Kiro bugs including CVE-2026-10591, plus related prompt-injection and code-execution issues in Codex CLI, Cursor, Gemini CLI, Copilot CLI, and Claude Code.

The Hacker News·Aug 28, 18:35 UTC · 19d agoAI safety & securityCVE-2026-10591CVE-2026-35603CVE-2026-257251

Cybercriminals Turn to Indirect Prompt Injection Attacks

Proofpoint reports cybercriminals are now adopting indirect prompt injection attacks against AI-powered systems.

Proofpoint's threat intelligence reports that cybercriminals have turned to indirect prompt injection attacks, extending the technique from a research concern into observed criminal tradecraft. The article is available by title only, so specific victims, campaigns, and targets are not detailed here.

Proofpoint Threat Insight·Aug 13, 13:25 UTC · Aug 13, 2026AI safety & security in the wild

Unauthenticated PHP Object Injection to Remote Code Execution on GiveWP

Patchstack details an unauthenticated PHP object injection chain enabling remote code execution in the GiveWP WordPress donation plugin.

Patchstack disclosed an unauthenticated remote code execution vulnerability in the GiveWP WordPress donation plugin. An attacker with no account can execute arbitrary commands on the server of an affected GiveWP site. The full chain is reachable when a site has one published donation form and one active payment gateway, a configuration the researcher describes as a common default.

Patchstack·Aug 28, 09:39 UTC · 19d agoVulnerability

ActionSplice: In-Flight Action Editing for Interactive World Models

ActionSplice enables in-flight action editing in chunk-autoregressive video world models via a lightweight corrector, avoiding rollback or waiting for the next chunk.

ActionSplice is an inference framework that formulates in-flight action editing for chunk-autoregressive video world models as Counterfactual State Transport (CST), where a lightweight corrector transports the interrupted backbone-native representation toward the matched state induced by the revised action. The world model and sampler remain frozen, and sampling resumes without replaying completed evaluations. Across minWM-Wan Action2V and HY-WM1.5, the retargeting variant CST-R reduces rollback-relative LPIPS by 61.5% and 75.9% versus direct condition swapping, while the temporal-splicing variant CST-T reduces suffix LPIPS by 56.1% and 77.5% with 2.73x and 1.69x pixel-ready speedups over waiting.

Hugging Face daily papers·Sep 7, 20:00 UTC · 9d agoAI research

Critical GiveWP Flaw Lets Attackers Run Commands on WordPress Servers

Critical unauthenticated PHP object injection (CVE-2026-82222) in the GiveWP WordPress donation plugin chains to remote code execution; version 4.16.7.2 fixes it.

Patchstack disclosed CVE-2026-82222 (CVSS 10.0), an unauthenticated PHP object injection in GiveWP versions through 4.16.7.1 that chains through TCPDF and Give\TestData gadget classes to arbitrary OS command execution as the web server user. On versions 4.16.5.1 and below, a default installation with one published donation form is enough to exploit, with no user interaction required. Version 4.16.7.2 blocks unsafe serialized data, hardens the gadget chain and cleans already-stored database records; a separate registration bypass issue remains unresolved.

Security Affairs·Aug 31, 07:54 UTC · 16d agoVulnerabilityCVE-2026-82222

[0day-rubbish] QuantaStor 6.8.3.018 Command injection in the alert-mail command via the smtpPassword field (8.8)

QuantaStor 6.8.3.018 has a CVSS 8.8 command injection in its alert-mail command, exploitable via the smtpPassword field.

0day Rubbish Research Team disclosed a command injection (CWE-78) in QuantaStor 6.8.3.018's alert-mail command, reachable through the smtpPassword field. The flaw scores CVSS 8.8 (AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H). No CVE identifier or evidence of active exploitation is mentioned in the disclosure.

Full Disclosure·Sep 8, 17:31 UTC · 8d agoVulnerability 2 sources

Update modules/auxiliary/scanner/http/elasticsearch_tika_xfa_xxe.rb

Rapid7 updated a Metasploit auxiliary scanner module that detects XML external entity injection in Elasticsearch via Apache Tika.

A commit in the Metasploit Framework updated modules/auxiliary/scanner/http/elasticsearch_tika_xfa_xxe.rb, an auxiliary scanner module. The module targets XML external entity (XXE) injection in Elasticsearch through Apache Tika, and was co-authored by jheysel-r7. The terse commit message contains no additional details, CVE references, or exploitation notes.

Metasploit Framework commits·Sep 8, 19:22 UTC · 8d agoTools

Hiding Prompt Injection in Legal Filing

A judge banned a plaintiff from electronic court filings after hidden prompt-injection text was discovered planted in legal documents.

Bruce Schneier's blog discusses an incident in which hidden prompt-injection instructions were planted inside a legal filing, apparently targeting AI systems that might process court documents. Judge Walter Spader Jr. responded by banning the plaintiff from electronic filings, requiring all future submissions as printed hard copies. Commenters debate whether the tactic could affect future AI-based processing of court records and whether plain-text formats will regain favor.

Schneier on Security·Aug 31, 11:04 UTC · 16d agoAI safety & security in the wild

PIDS-Bench: Evaluating Prompt-Injection Detectors Under Over-Defense, Obfuscation, and Distribution Shift

PIDS-Bench shows prompt-injection detectors scoring F1 above 0.98 still misclassify about one-third of external benign security-adjacent prompts, revealing provenance-sensitive over-defense.

PIDS-Bench is a frozen multi-axis benchmark that jointly evaluates prompt-injection detectors on attack detection and benign false-positive behavior at fixed thresholds, spanning in-distribution inputs, hard-benign prompts, obfuscated attacks, and domain/structural distribution shifts. It evaluates seven detectors plus a rule-based lower-bound reference. A detector exceeding F1 = 0.98 on held-out data still misclassifies roughly one-third of an externally-sourced benign security-adjacent subset, and no internal detector reaches F1 >= 0.95 with hard-benign FPR <= 0.10 on the stress distribution. Hard-negative augmentation nearly eliminates over-defense on curated stress inputs but leaves it intact on externally-sourced prompts, a pattern termed provenance-sensitive over-defense.

arXiv cs.CR·Sep 14, 04:28 UTC · 2d agoAI safety & security

Studying Image Tokenizers as Visual Languages in Unified Multimodal Models

A controlled pure-autoregressive testbed shows task-specific validation losses rank image tokenizers differently, with I2T loss the most consistent signal.

Researchers built a controlled pure-autoregressive testbed and tracked task-specific validation losses during multimodal continual pretraining across text, image, text-to-image (T2I), and image-to-text (I2T) prediction. They find losses should be analyzed per task because they exhibit distinct scaling behavior and rank tokenizers differently, and that the loss-performance relationship depends on the predicted token space. I2T loss, computed over a shared text vocabulary, correlates consistently with both generation and visual understanding performance after supervised finetuning. Case studies revisit the discriminator, semantic supervision, and vocabulary size as tokenizer design axes.

arXiv cs.AI / cs.LG / cs.CL·Sep 8, 17:57 UTC · 8d agoAI research1

ZDI-26-581: Cisco Identity Services Engine invokeScript Command Injection Remote Code Execution Vulnerability

ZDI details CVE-2026-20147, an authenticated command injection in Cisco Identity Services Engine allowing remote code execution, rated CVSS 7.2.

ZDI-26-581 describes a command injection flaw in Cisco Identity Services Engine reachable through the invokeScript function. Remote attackers who authenticate can execute arbitrary code on affected installations. The issue is tracked as CVE-2026-20147 and carries a CVSS rating of 7.2. No exploitation activity is reported in the advisory.

ZDI Published Advisories·Aug 13, 05:00 UTC · Aug 13, 2026VulnerabilityCVE-2026-20147

When the prompt becomes the payload: A practical pen-testing guide for GenAI, LLM and RAG applications

CSO Online publishes a practical penetration-testing guide for GenAI, LLM, and RAG applications, covering prompt injection, retrieval poisoning, and tenant isolation testing.

The guide frames LLM applications as attack graphs spanning prompts, retrieval layers, vector stores, tools, identities, and downstream APIs, arguing that conventional web testing misses instruction-vs-data channel risks. It builds on OWASP prompt injection guidance (direct vs. indirect injection) and NIST's 2025 adversarial machine-learning taxonomy, noting that RAG and fine-tuning do not remove injection risk. Recommended practices include documenting trust transitions across components, using canaries and synthetic records to avoid test side effects, running multi-turn and obfuscated injection campaigns, and verifying chains from poisoned documents to observable state changes. It also details testing RAG pipelines via controlled document poisoning across metadata, OCR layers, and code comments, plus cross-tenant isolation checks on retrieved document IDs.

CSO Online·Sep 9, 10:00 UTC · 7d agoAI safety & security1

The Model Proposes, the Code Disposes: A Pre-Registered Ablation of a Verifier-and-Acceptance Stage in an LLM-Orchestrated Offensive-Security Agent

Pre-registered ablation finds a model verifier stage in an LLM offensive-security agent suppresses findings; removing it eliminated suppression with precision tradeoff.

The paper evaluates a verifier-and-acceptance stage in an LLM-orchestrated offensive-security agent via a pre-registered 20-run confirmatory ablation and a 2x2 factorial study with 40 runs on vulnerable lab targets. Removing the stage eliminated pre-report suppression (median 2 vs 0 findings, p = 0.00003) but reduced model-blinded shipped precision (0.471 vs 0.353, p = 0.0087). Suppression was attributed to the model verifier rather than deterministic acceptance rules, and an instrumented canary recorded zero external contacts in all 60 runs. The full design retained 93.8% of model-adjudicated true candidates but failed its pre-registered non-inferiority floor of 0.90.

arXiv cs.CR·Sep 14, 17:13 UTC · 2d agoResearch

[webapps] Linksys E1200_2.0.04 - Unauthenticated OS Command Injection

A proof-of-concept for unauthenticated OS command injection in Linksys E1200 router firmware 2.0.04 has been published on Exploit-DB.

Exploit-DB entry 52660 discloses an unauthenticated OS command injection affecting the Linksys E1200 wireless router running firmware version 2.0.04. The flaw is categorized as a web application vulnerability. No CVE identifier or evidence of in-the-wild exploitation is provided in the listing.

Exploit-DB·Aug 31, 00:00 UTC · 16d agoExploit / PoC

ENEAS: Embedding-guided Neural Ensemble for Adaptive Segmentation

ENEAS adds text prompting and semantic verification to video segmentation to keep tracking targets through occlusion and reject lookalike distractors.

ENEAS is a unified text-promptable method for instance tracking and open-concept semantic discovery in video, designed to fix temporal hallucinations, spatial fragmentation, and semantic misclassification seen in SAM 3-class foundation models. It extends the geometrically robust SeC architecture with a text-prompting adapter and temporal memory, and uses a verification layer combining fast visual embedding matching with conditional VLM refinement for ambiguous candidates. It targets 3D reconstruction pipelines where a single misclassified distractor corrupts the asset. Code and models are open-sourced.

Hugging Face daily papers·Sep 2, 20:00 UTC · 14d agoAI research

ZDI-26-546: Flowise Airtable_Agent Code Injection Remote Code Execution Vulnerability

ZDI discloses an unauthenticated code injection remote code execution flaw in Flowise's Airtable_Agent (CVE-2026-69264, CVSS 9.8).

ZDI advisory ZDI-26-546 describes a code injection vulnerability in the Flowise Airtable_Agent that allows remote attackers to execute arbitrary code. No authentication is required to exploit the flaw, which carries a CVSS rating of 9.8 and is assigned CVE-2026-69264. Flowise deployments exposing the vulnerable agent component are at risk of full server takeover.

ZDI Published Advisories·Aug 11, 05:00 UTC · Aug 11, 2026VulnerabilityCVE-2026-69264

Payara 7.2026.1.RC1 Arbitrary EJB Method Invocation via Insecure Reflection in Payara Server

Payara Server 7.2026.1.RC1 HTTP EJB endpoints rely on attacker-controlled reflection and JNDI lookups without authorization, enabling arbitrary EJB method invocation.

Payara Server exposes multiple HTTP-accessible EJB invocation mechanisms that depend on attacker-controlled reflection, dynamic class loading, and unsafe deserialization. Remote clients can perform arbitrary JNDI lookups, resolve attacker-supplied class names, and invoke EJB business methods without sufficient authorization enforcement or input restriction. Both the deprecated InvokeEJBServlet and other endpoints are affected in version 7.2026.1.RC1.

Full Disclosure·Sep 4, 00:13 UTC · 12d agoVulnerability 2 sources