Keras
CVE-2024-55459
MEDIUM
Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A08:2025 - Software or Data Integrity Failures
ASVS 5.0
V15 - Secure Coding and Architecture Code integrity verification
|
| Impact | CVSS score of 6.5 (MEDIUM). Attack characteristics: network attack vector, low complexity, no privileges required, user interaction required. EPSS exploitation probability: 0.15%. |
| Exploit ScenarioDerived | This vulnerability can be exploited remotely over the network. Successful exploitation could compromise the medium-severity affected system. |
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Alert meAnalysisAIv1 – Mar 28, 2026
An issue in keras 3.7.0 allows attackers to write arbitrary files to the user's machine via downloading a crafted tar file through the get_file function. Rated medium severity (CVSS 6.5), this vulnerability is remotely exploitable, no authentication required, low attack complexity. No vendor patch available.
RemediationAI
No vendor patch is available at time of analysis. Monitor vendor advisories for updates. Apply vendor patches when available. Implement network segmentation and monitoring as interim mitigations.
Affected Packages
Source: OSV (Open Source Vulnerabilities)
Affects your stack
Affects 1 package in pypi
Checking this CVE against your own stacks and servers is part of the Basic plan and up.
Technical ContextAI · show details
This vulnerability is classified under CWE-494. An issue in keras 3.7.0 allows attackers to write arbitrary files to the user's machine via downloading a crafted tar file through the get_file function. Affected products include: Keras.
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- Exploit and PoC references, threat intelligence from 22 sources
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Severity by source
AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:N
Primary rating from NVD.
CVSS VectorNVD
DescriptionCVE.org
An issue in keras 3.7.0 allows attackers to write arbitrary files to the user's machine via downloading a crafted tar file through the get_file function.
Executive ViewAI
CVE-2024-55459 presents notable security risk rated CVSS 6.5. Exploitation could compromise the security of affected deployments. Organizations should apply vendor updates when available and monitor for exploitation.
Apply vendor patch. If patching is delayed: restrict network access and enable monitoring.
Threat Intelligence Overview
How this decision was reached
The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.
What every action level means
SSVC AssessmentENISA
Priority Score
Attack Technique
Information disclosure occurs when an application unintentionally exposes sensitive data that aids attackers in reconnaissance or directly compromises security.
Affected Products (CPE)CVE.org
The Keras Model.load_model method can be exploited to achieve arbitrary code execution, even with safe_mode=True. Rated
Deserialization of untrusted data in Keras 3.11.0 through 3.11.2 allows remote code execution when a victim loads a mali
A arbitrary code injection vulnerability in TensorFlow's Keras framework (<2.13) allows attackers to execute arbitrary c
Directory traversal in Keras through 3.11.3 allows an attacker who supplies a crafted tar archive to keras.utils.get_fil
The Keras Model.load_model method can be exploited to achieve arbitrary code execution, even with safe_mode=True. Rated
Path traversal in Keras archive extraction utilities prior to version 3.14.0 allows remote attackers to write files outs
Memory-exhaustion denial of service in Google Keras 3.0.0 through 3.13.0 lets a remote attacker crash the Python interpr
Arbitrary local file disclosure in Keras 3.0.0 through 3.13.1 allows a remote attacker to read sensitive files from a vi
Keras Model.load_model fails to enforce safe_mode=True for the StringLookup layer's vocabulary path handling, so a malic
A safe mode bypass vulnerability in the `Model.load_model` method in Keras versions 3.0.0 through 3.10.0 allows an attac
GitHub PoC
Exploit-DB