First reported · updated · 6 reports thehackernews.com
Lead dispatch
First reported · updated · 3 reports embracethered.com
AWS Kiro: Arbitrary Code Execution via Indirect Prompt Injection
Researchers found a vulnerability (CVE-2026-10591) in AWS Kiro, an agentic IDE, where hidden instructions planted in a web page or source file that Kiro processes can trigger indirect prompt injection to rewrite Kiro's own MCP server configuration (~/.kiro/settings/mcp.json) or allowlist arbitrary Bash commands in .vscode/settings.json, achieving arbitrary code execution on the developer's machine with no approval prompt. The human-in-the-loop approval boundary is bypassed because Kiro can write to these config files without user consent, and AWS has issued a fix and CVE.indirect-prompt-injection · prompt-injection · remote-code-execution · tool-abuse · config-poisoning
ai-agents · mcp · llm · agentic-ide
Severity
0.85
The wire · latest
First reported ionix.io
CVE-2026-82268 – Server-Side Request Forgery (SSRF) – Qwen-Agent ≤ 0.0.34
CVE-2026-82268 is a Server-Side Request Forgery vulnerability in Qwen-Agent (versions through 0.0.34), an open-source agent framework built on the Qwen LLM family. The document parsing logic in qwen_agent/tools/simple_doc_parser.py treats caller-supplied paths as URLs without scheme restriction or host validation, letting unauthenticated remote attackers coerce the server into requesting arbitrary internal/external addresses — including cloud metadata endpoints — via the default, exposed Gradio interface. It carries a CVSS v4.0 score of 8.7 (High) with no vendor patch yet available. Details →First reported checkpoint.com
Black Hat 2026: AI Agent Framework Flaws Expose Secrets
Check Point researchers Shahar Tal and Yarden Porat presented at Black Hat 2026 an audit of major AI agent frameworks — LangChain, CrewAI, Microsoft Agent Framework and Google's ADK — uncovering 21 findings across eight codebases including 12 CVEs. The flaws are classic vulnerability classes (unsafe deserialization, SSRF, SQL injection, sandbox escape, arbitrary file read, memory corruption, PDF-parser RCE) reachable via post-injection exploitation, where attacker-controlled content poisons an agent's memory and triggers the framework's own internal plumbing to steal credentials and data without calling dangerous functions directly. Details →First reported · updated · 2 reports splunk.com
SVD-2026-0808 | Splunk Vulnerability Disclosure
Splunk advisory SVD-2026-0808 discloses multiple vulnerabilities in Splunk apps including a critical (CVSS 9.1) remote code execution via untrusted-data deserialization (CVE-2026-76404) in the Splunk MCP Server app, plus several flaws in the Splunk AI Toolkit such as RCE in the Model Loading REST API (CVE-2026-76395), improper privilege management on agent run history (CVE-2026-76391), and missing authorization in container/connection management (CVE-2026-76394). Fixed versions are available for each affected app and add-on. Details →First reported · updated · 3 reports cisa.gov
CISA Adds One Known Exploited Vulnerability to Catalog
CISA warned that threat actors are actively exploiting CVE-2026-64849, a critical DNS-rebinding SSRF bypass in MLflow's outbound webhook delivery, and added it to its Known Exploited Vulnerabilities catalog. MLflow is a widely used open-source AI engineering platform for LLMs and agents; the flaw lets unauthenticated attackers reach the tracking server and make it issue requests to internal/loopback/cloud-metadata endpoints, enabling theft of cloud credentials such as AWS IMDS IAM credentials. The vulnerability was patched in MLflow 3.15.0. Details →First reported · updated · 2 reports checkpoint.com
From SQLi to RCE - Exploiting LangGraph’s Checkpointer - Check Point Research
Check Point Research (Yarden Porat and Shahar Tal) disclosed 11 vulnerabilities across six major AI agent frameworks — LangChain, LangGraph, CrewAI, AutoGen, the Microsoft Agent Framework, and Google ADK — including insecure deserialization, SSRF, path traversal, SQL injection, and use-after-free flaws. The most severe were RCE chains: a checkpoint deserialization flaw in the Microsoft Agent Framework triggerable via prompt injection, unauthenticated code execution in Google ADK, and three LangGraph checkpointer bugs (CVE-2025-67644, CVE-2026-28277, CVE-2026-27022). All disclosed issues were patched. Details →First reported arxiv.org
From Prompt Injection to Web Exploitation: Revisiting Classic Vulnerabilities in LLM-Integrated Applications
A research paper by Spiros Tsigkopoulos and Christoforos Ntantogian introduces "LLM-mediated web attacks," a class where attacker-controlled input is transformed by an LLM-integrated application and then reaches traditional web-app sinks, systematized as LLM2X variants (LLM2SQLi, LLM2XSS, LLM2SSTI, LLM2CommandInjection, LLM2IDOR, LLM2CSRF, LLM2XXE, LLM2SSRF). The authors implement TicketOracle, a Flask-based LLM-integrated app, to evaluate LLM2SSRF across five scenarios and seven LLMs, finding substantial model-specific variation in susceptibility. Details →First reported · updated · 3 reports arxiv.org
Exposed by Design: A Dynamic Security Assessment of Internet-Facing MCP Servers at Scale
An arXiv paper by Nicolás Padilla presents the first dynamic behavioral security assessment of internet-facing Model Context Protocol (MCP) servers, discovering over 21,000 instances, confirming 640 production servers, and dynamically auditing 414 using Corvus, a purpose-built framework with 34 test modules across 10 MCP-specific vulnerability classes. The study uncovered 68 reportable vulnerabilities including SQL injection, SSRF targeting cloud metadata, prompt template injection, and path traversal, and found 91.8% of audited servers lack OAuth authentication and 687 tool instances exposing shell execution without access controls. The authors release Corvus as an open-source MCP security evaluation framework. Details →First reported vuldb.com
CVE-2026-19339 in alibabacloud-dataworks-mcp-server
CVE-2026-19339 is a server-side request forgery flaw in aliyun alibabacloud-dataworks-mcp-server up to version 1.0.43, where the ReadResourceRequestSchema function in src/resources/initResources.ts fails to validate the request.params.uri argument. The flaw is remotely exploitable without authentication (CWE-918), and the project maintainers had not responded to the initial issue report at time of disclosure. Details →First reported medium.com
SSRF Explained: The Vulnerability Quietly Behind Some of 2026’s Biggest AI Agent Breaches | by Raj Namdev | CodeToDeploy
A Medium explainer by Raj Namdev breaks down Server-Side Request Forgery (SSRF) and argues it is resurging as a major risk because AI agent servers and tool integrations fetch, forward, and act on URLs supplied by users or by the AI model itself. The piece describes what SSRF is, why the growth of AI agent servers creates a larger attack surface, and how to remediate it. Details →First reported · updated · 2 reports modelcontextprotocol.io
Security Best Practices
The official Model Context Protocol security best practices document catalogs attack vectors and mitigations for MCP implementations, including the confused deputy problem in MCP proxy servers that connect to third-party APIs via OAuth. It describes how static client IDs, dynamic client registration, and consent cookies can be combined to obtain authorization codes without user consent, and references OAuth 2.0 and SSRF prevention guidance. Details →First reported · updated · 5 reports varonis.com
SearchLeak: How We Turned M365 Copilot Into a One-Click Data Exfiltration Weapon
SearchLeak (CVE-2026-42824) is a critical three-stage vulnerability chain in Microsoft 365 Copilot Enterprise discovered by Varonis Threat Labs that lets an attacker steal MFA codes, emails, meeting details, and organizational files with a single click on a trusted microsoft.com link. It chains a Parameter-to-Prompt (P2P) injection via the search q parameter with an HTML rendering race condition and a CSP bypass through Bing's allowlisted image-search SSRF endpoint to silently exfiltrate a victim's mailbox, calendar, SharePoint, and OneDrive data. Microsoft remediated the flaw and rated it critical. Details →First reported equixly.com
How an AI agent talked itself into an XXE — and was right
Equixly describes how its autonomous AI agent, starting only from an OpenAPI specification and low-privileged credentials, identified an XML External Entity (XXE) injection in the chat layer of a collaboration platform, flagged an ordinary-looking JSON message-forward field as an XML sink, and confirmed it out-of-band. The agent then chained the flaw to local file reads and server-side request forgery to exfiltrate a cleartext database credential during a grey-box assessment. Details →How the wire is made
Poll & cluster
Internet is crawled for AI security news and near-duplicate coverage is embedded and grouped into durable items.
Curate
AI Agent filters for agentic-AI relevance, classifies and tags each item, scores severity for threats, and writes the summary.
Every item here is one machine-curated intelligence object, not a headline.
Read the wire for free. There is a small charge to ask the index questions.
The wire, open
The complete curated feed, no key required.
- GET /feed.xml — RSS 2.0, every item
- GET /api/items — read-only
The vector desk
Query the index by meaning, not just keyword.
- GET /api/items?tags=&minSeverity=&itemType=
- GET /api/search?q= — keyword
- GET /api/semantic?q= — vector