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Ukraine Says Russian Intelligence Used Fake Support Texts to Steal Messaging Credentials

thehackernews.com 2026-06-27 data leakage High

What Happened

The Security Service of Ukraine (SSU) said it, together with the U.S. Federal Bureau of Investigation (FBI), uncovered a long-running campaign orchestrated by Russian intelligence services to break into the messaging accounts of government officials, military personnel, politicians, and activists in Ukraine, Europe, and the U.S. The systematic cyber attacks aimed at stealing sensitive

Why It Matters

According to Ukraine’s Security Service and the FBI, Russian intelligence ran a long-running social engineering campaign that sent fake support SMS messages to steal credentials for encrypted messaging apps used by officials, military personnel, politicians, and activists in Ukraine, Europe, and the U.S.[1][8] The goal was to gain access to sensitive military, political, and economic information, as well as personal data, by tricking users into sharing login details and confirmation codes.[1] For CyberSE.AI, this illustrates how AI-enabled or AI-assisted agents integrated with messaging or communications workflows could be abused as a covert exfiltration channel if their authentication flows, session handling, or notifications can be mimicked or hijacked by attackers. Organizations deploying AI agents around sensitive communications should use continuous red teaming to simulate credential phishing against agent interfaces, harden identity and session management, require strong multi-factor authentication, and ensure agents never request or store raw authentication secrets or recovery codes.

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CyberSE Analysis

This signal maps to data leakage. Organizations using AI agents, LLM APIs, SaaS integrations, or sensitive data workflows should review whether this class of issue could create unauthorized tool execution, data leakage, weak approval gates, or unmanaged supply-chain exposure.

Recommended Actions

  • Restrict AI agent tool permissions and production write paths.
  • Review sensitive data access across prompts, logs, embeddings, memory, and SaaS integrations.
  • Add human approval workflows for high-impact or state-changing actions.
  • Run prompt injection and indirect prompt injection tests against affected workflows.
  • Document the owner, control gap, and remediation deadline for this risk class.

Source

https://thehackernews.com/2026/06/ukraine-says-russian-intelligence-used.html

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