CVE-2025-5174: Deserialization in erdogant pypickle
A vulnerability was found in erdogant pypickle up to 1.1.5 and classified as problematic. Affected by this issue is the function load of the file pypickle/pypickle.py. The manipulation leads to deserialization. Local access is required to approach this attack. The exploit has been disclosed to the public and may be used. Upgrading to version 2.0.0 is able to address this issue. The patch is identified as 14b4cae704a0bb4eb6723e238f25382d847a1917. It is recommended to upgrade the affected component.
AI Analysis
Technical Summary
CVE-2025-5174 is a medium-severity vulnerability affecting the erdogant pypickle Python library versions 1.1.0 through 1.1.5. The issue resides in the 'load' function of the pypickle/pypickle.py file, where improper handling of deserialization allows an attacker with local access and low privileges to manipulate the deserialization process. This manipulation can lead to unintended code execution or data corruption during the deserialization of Python objects. The vulnerability does not require user interaction and has a CVSS 4.8 score, reflecting limited but notable impact. Exploitation requires local access and low privileges, which reduces the attack surface but still poses a risk in environments where multiple users share systems or where local access can be gained through other means. The vulnerability has been publicly disclosed, though no known exploits are currently observed in the wild. The issue is resolved in pypickle version 2.0.0, which includes a patch identified by commit 14b4cae704a0bb4eb6723e238f25382d847a1917. Users of affected versions are strongly advised to upgrade to the fixed version to mitigate the risk. The vulnerability highlights the risks inherent in insecure deserialization, a common vector for code injection and privilege escalation attacks in Python applications that rely on object serialization.
Potential Impact
For European organizations, the impact of CVE-2025-5174 depends largely on the deployment context of the pypickle library. Organizations using pypickle in multi-user environments, shared servers, or development environments where local access is possible could face risks of unauthorized code execution or data integrity compromise. This could lead to unauthorized access to sensitive data, disruption of services, or lateral movement within internal networks. While the vulnerability requires local access and low privileges, it could be leveraged as part of a multi-stage attack chain, especially in environments with weak access controls or where attackers have already gained limited footholds. Sectors with high reliance on Python-based applications, such as finance, healthcare, and critical infrastructure in Europe, may be particularly sensitive to such vulnerabilities. The medium severity rating suggests that while the vulnerability is not critical, it should not be ignored, especially in regulated industries where data integrity and confidentiality are paramount.
Mitigation Recommendations
To mitigate CVE-2025-5174, European organizations should: 1) Immediately upgrade all instances of the erdogant pypickle library to version 2.0.0 or later, which contains the patch addressing the deserialization flaw. 2) Restrict local access to systems running vulnerable versions by enforcing strict user permissions and employing robust access control mechanisms to minimize the risk of unauthorized local exploitation. 3) Conduct audits of Python applications and environments to identify usage of pypickle and assess exposure. 4) Implement application-level input validation and consider using safer serialization alternatives that do not allow arbitrary code execution during deserialization. 5) Monitor system logs and behavior for unusual activities that may indicate exploitation attempts. 6) Educate developers and system administrators about the risks of insecure deserialization and best practices for secure coding and dependency management. 7) Integrate vulnerability scanning tools into the CI/CD pipeline to detect vulnerable library versions proactively.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden, Italy, Spain
CVE-2025-5174: Deserialization in erdogant pypickle
Description
A vulnerability was found in erdogant pypickle up to 1.1.5 and classified as problematic. Affected by this issue is the function load of the file pypickle/pypickle.py. The manipulation leads to deserialization. Local access is required to approach this attack. The exploit has been disclosed to the public and may be used. Upgrading to version 2.0.0 is able to address this issue. The patch is identified as 14b4cae704a0bb4eb6723e238f25382d847a1917. It is recommended to upgrade the affected component.
AI-Powered Analysis
Technical Analysis
CVE-2025-5174 is a medium-severity vulnerability affecting the erdogant pypickle Python library versions 1.1.0 through 1.1.5. The issue resides in the 'load' function of the pypickle/pypickle.py file, where improper handling of deserialization allows an attacker with local access and low privileges to manipulate the deserialization process. This manipulation can lead to unintended code execution or data corruption during the deserialization of Python objects. The vulnerability does not require user interaction and has a CVSS 4.8 score, reflecting limited but notable impact. Exploitation requires local access and low privileges, which reduces the attack surface but still poses a risk in environments where multiple users share systems or where local access can be gained through other means. The vulnerability has been publicly disclosed, though no known exploits are currently observed in the wild. The issue is resolved in pypickle version 2.0.0, which includes a patch identified by commit 14b4cae704a0bb4eb6723e238f25382d847a1917. Users of affected versions are strongly advised to upgrade to the fixed version to mitigate the risk. The vulnerability highlights the risks inherent in insecure deserialization, a common vector for code injection and privilege escalation attacks in Python applications that rely on object serialization.
Potential Impact
For European organizations, the impact of CVE-2025-5174 depends largely on the deployment context of the pypickle library. Organizations using pypickle in multi-user environments, shared servers, or development environments where local access is possible could face risks of unauthorized code execution or data integrity compromise. This could lead to unauthorized access to sensitive data, disruption of services, or lateral movement within internal networks. While the vulnerability requires local access and low privileges, it could be leveraged as part of a multi-stage attack chain, especially in environments with weak access controls or where attackers have already gained limited footholds. Sectors with high reliance on Python-based applications, such as finance, healthcare, and critical infrastructure in Europe, may be particularly sensitive to such vulnerabilities. The medium severity rating suggests that while the vulnerability is not critical, it should not be ignored, especially in regulated industries where data integrity and confidentiality are paramount.
Mitigation Recommendations
To mitigate CVE-2025-5174, European organizations should: 1) Immediately upgrade all instances of the erdogant pypickle library to version 2.0.0 or later, which contains the patch addressing the deserialization flaw. 2) Restrict local access to systems running vulnerable versions by enforcing strict user permissions and employing robust access control mechanisms to minimize the risk of unauthorized local exploitation. 3) Conduct audits of Python applications and environments to identify usage of pypickle and assess exposure. 4) Implement application-level input validation and consider using safer serialization alternatives that do not allow arbitrary code execution during deserialization. 5) Monitor system logs and behavior for unusual activities that may indicate exploitation attempts. 6) Educate developers and system administrators about the risks of insecure deserialization and best practices for secure coding and dependency management. 7) Integrate vulnerability scanning tools into the CI/CD pipeline to detect vulnerable library versions proactively.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- VulDB
- Date Reserved
- 2025-05-25T13:42:06.231Z
- Cisa Enriched
- false
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 683413410acd01a24928417a
Added to database: 5/26/2025, 7:07:45 AM
Last enriched: 7/9/2025, 1:43:10 PM
Last updated: 8/5/2025, 5:31:29 AM
Views: 39
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