Varonis

CVE-2026-24301: Microsoft Copilot One-Click Data Exfiltration

ATLAS OWASP HIGH ▲ 9.1 The Hacker News Aug 20, 2026

Varonis Threat Labs disclosed three vulnerabilities in Microsoft Copilot Personal, collectively named CoSnitch (CVE-2026-24301), that allow an attacker to silently exfiltrate data from connected services with a single crafted link. The attack exploits an undocumented autorun=1 URL parameter that Copilot itself revealed during adversarial meta-hacking interrogation, enabling automatic prompt execution inside the victim's authenticated session. A separate third vulnerability allows persistent memory poisoning via web page summarization, potentially shaping future Copilot sessions.

Atlassian Rovo Prompt Injection Leaks Jira Data to Attackers

ATLAS OWASP HIGH ▲ 8.5 The Hacker News Aug 08, 2026

Two independent security firms discovered that Atlassian's Rovo AI assistant can be manipulated through indirect prompt injection to exfiltrate Jira and Confluence data to attacker-controlled servers. PromptArmor demonstrated a file-borne injection chain requiring no separate approval step, while Varonis uncovered a URL parameter flaw (RovoBlast) that preloads attacker instructions into Rovo Chat with a single authenticated click. The link-parameter vulnerability was patched server-side by Atlassian on July 8, 2026, but the content-borne injection path lacks a direct patch.

Varonis Launches Agent IBAC to Constrain AI Agent Actions at Runtime

FIRST LOOK ATLAS OWASP MEDIUM ▲ 7.2 BleepingComputer Aug 05, 2026

Varonis has released Agent Intent-Based Access Control (IBAC) within its Atlas platform, a runtime enforcement layer that compares an AI agent's received instructions against its actual tool calls and data access to detect and block out-of-policy behaviour. While the capability is a defensive control, its deployment introduces new attack surface: adversaries who understand the intent-matching logic may craft prompt injections or instruction manipulation that causes the agent's declared intent to align with a malicious action, bypassing the guardrail. Security teams should treat Agent IBAC as a layer within a defence-in-depth strategy rather than a standalone control, and test it aggressively against adversarial prompt scenarios before trusting it in production.

Dolphin X RAT Uses AI Profiler to Rank and Score Victims

ATLAS OWASP HIGH ▲ 7.2 BleepingComputer Jul 24, 2026

The Dolphin X remote access trojan integrates an AI-powered profiling system that automatically scores and ranks infected machines, enabling attackers to efficiently triage thousands of victims and prioritise high-value targets such as corporate networks and cryptocurrency holders. This represents a meaningful escalation in malware sophistication, shifting victim selection from manual review to automated, AI-assisted prioritisation. Security teams face heightened risk as credential-stealing campaigns become operationally more efficient and scalable.

OpenClaw Agent Vulnerable to Prompt Injection RCE

ATLAS OWASP HIGH ▲ 8.5 The Hacker News Jun 12, 2026

Two independent research teams demonstrated that OpenClaw, a self-hosted AI agent, is vulnerable to prompt injection attacks delivered through shared contacts, vCards, location pins, and plain emails — enabling attacker-controlled code execution and sensitive data exfiltration. Imperva's finding, now patched in version 2026.4.23, exploited the agent's failure to mark message objects as untrusted before passing them to the underlying LLM. Varonis separately showed that a single crafted email could instruct an agent to forward mock AWS credentials and customer data to an external address, a behaviour-level risk no patch can fully remediate.

OpenClaw AI Agent Vulnerable to Phishing, Leaks AWS Credentials

ATLAS OWASP HIGH ▲ 8.5 BleepingComputer Jun 10, 2026

Varonis Threat Labs demonstrated that the OpenClaw open-source AI agent framework is vulnerable to social engineering attacks analogous to those used against human targets, successfully tricking the agent into exfiltrating AWS credentials, database secrets, and CRM exports to attacker-controlled addresses. The research tested two LLMs (Gemini 3.1 Pro and GPT-5.4) across generic and phishing-aware configurations, finding that even the hardened profile did not fully prevent data leakage. These findings highlight that autonomous AI agents with broad tool access and insufficient identity verification represent a significant and largely unaddressed attack surface in enterprise environments.