CVE-2025-49655 — AI Deep Analysis Summary

🚨 **Essence**: Keras (v3.11.0 to <3.11.3) suffers from **Unsafe Deserialization**. 📉 **Consequences**: Attackers can execute **arbitrary code** on the target system. This is a critical integrity and availability risk.

🛡️ **Root Cause**: **CWE-502** (Deserialization of Untrusted Data). The framework fails to validate data before processing it, allowing malicious payloads to be injected and executed.

👥 **Affected**: **Keras** users running versions **3.11.0** through **3.11.2**. If you are on 3.11.3 or later, you are safe. 📦 Component: The core Keras library.

💀 **Attacker Capabilities**: Full **Remote Code Execution (RCE)**. 📊 **Impact**: High (H) for Confidentiality, Integrity, and Availability. Hackers can steal data, modify models, or crash systems completely.

🔓 **Exploitation Threshold**: **LOW**. ⚙️ **Config**: AV:N (Network), AC:L (Low Complexity), PR:N (No Privileges), UI:N (No User Interaction). No auth or complex setup needed to exploit.

🔍 **Public Exploit**: **No PoC provided** in the data. However, the CVSS score is **Critical (9.8)**. While no specific code is public, the vulnerability is well-understood and highly dangerous. 🚩 Treat as active threat.

🔎 **Self-Check**: Scan your environment for **Keras version 3.11.0 - 3.11.2**. Look for any code paths that deserialize untrusted input (e.g., loading model weights from unverified sources).…

✅ **Fix Status**: **Yes**. The vulnerability is fixed in **Keras 3.11.3**. 📝 **Reference**: See GitHub PR #21575 for the official patch details. Upgrade immediately.

🚧 **No Patch Workaround**: If you cannot upgrade, **strictly validate** all inputs before deserialization. 🚫 **Never** deserialize data from untrusted sources. Implement allow-listing for model loading functions.…

🔥 **Urgency**: **CRITICAL**. 🚨 With a CVSS of 9.8 and no auth required, this is a top-priority fix. Patch to v3.11.3 **immediately** to prevent RCE. Do not delay. ⏳