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Cyber Security
Independent · Digital
Thehackingpost
CybersecurityAI-assisted

WhatsApp 0-Click Flaw Abused via Malicious DNG Image File

A zero-click remote code execution (RCE) vulnerability in WhatsApp has been identified, posing a risk to Apple users. Researchers from DarkNavyOrg have demonstrated a proof-of-concept exploit using two vulnerabilities to compromise iOS, macOS, and iPadOS…

A zero-click remote code execution (RCE) vulnerability in WhatsApp has been identified, posing a risk to Apple users. Researchers from DarkNavyOrg have demonstrated a proof-of-concept exploit using two vulnerabilities to compromise iOS, macOS, and iPadOS devices without user interaction.

The attack chain begins with CVE-2025-55177, a critical logic error in WhatsApp's message handling. WhatsApp fails to validate whether an incoming message truly originates from a linked device, allowing attackers to craft messages appearing to come from a user's trusted account. Once processed, these messages deliver a malicious payload.

The second vulnerability, CVE-2025-43300, involves a flaw in WhatsApp's DNG image parsing library. A malformed DNG image embedded in the message triggers a memory corruption error, leading to remote code execution and granting the attacker full control over the device.

A zero-click remote code execution (RCE) vulnerability in WhatsApp has been identified, posing a risk to Apple users.
Henry Dalton · Thehackingpost

The exploit affects iPhones, iPads, and Mac computers, allowing attackers to intercept messages, steal photos, record calls, and install malware. The stealthy nature of the attack means users may be compromised without visible signs.

WhatsApp and Apple have been notified of these critical bugs. Users should update WhatsApp to the latest version and install the newest iOS, macOS, or iPadOS security patches when available. Until patches are released, users should avoid opening suspicious messages or images, even from trusted contacts.

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Enterprises are advised to review mobile security policies and consider additional monitoring for WhatsApp traffic. The vulnerability highlights the challenges of securing automated file processing in messaging apps, emphasizing the importance of robust validation and rapid patch deployment.

Based on reporting by GBHackers.

AI transparency. This article was produced with the assistance of artificial intelligence and published under human editorial oversight. AI systems can make mistakes. Read how we use AI (EU AI Act, Art. 50).
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