Overview
In the realm of machine learning, Keras is a popular open-source software library used widely for developing and experimenting with deep learning models. However, recently a significant vulnerability, CVE-2025-8747, has been identified in Keras versions 3.0.0 through 3.10.0. This vulnerability can potentially expose systems to security risks such as data leakage and system compromise.
The importance of this vulnerability stems from the widespread use of Keras across various industries and academia, thereby increasing the number of potential targets for cybercriminals. Furthermore, the nature of the vulnerability, which allows arbitrary code execution, escalates the severity and potential impact of this security issue.
Vulnerability Summary
CVE ID: CVE-2025-8747
Severity: High (7.8 CVSS Score)
Attack Vector: Network
Privileges Required: None
User Interaction: Required
Impact: System compromise and potential data leakage
Affected Products
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Product | Affected Versions
Keras | 3.0.0 through 3.10.0
How the Exploit Works
The vulnerability resides in the `Model.load_model` method in Keras. When a user is tricked into loading a maliciously crafted `.keras` model archive, the safe mode of the system can be bypassed, allowing for arbitrary code execution. This means that an attacker can run any commands they wish on the victim’s system, leading to a potential system compromise or data leakage.
Conceptual Example Code
Here is a conceptual example of how this vulnerability might be exploited. Please note that this is a simplified representation and the actual exploit may be more complex.
# Attacker crafts a malicious .keras model archive
malicious_model = craft_malicious_keras_model()
# Attacker convinces the victim to load the malicious model
victim_model = keras.models.load_model(malicious_model)
# The malicious code is now executed in the victim's environmentThis example illustrates the potential danger of this vulnerability. It is therefore crucial to apply the necessary patches as recommended by the vendor, or employ Web Application Firewalls (WAF) or Intrusion Detection Systems (IDS) as temporary mitigation.
