CVE-2024-35515: n/a
Insecure deserialization in sqlitedict up to v2.1.0 allows attackers to execute arbitrary code.
AI Analysis
Technical Summary
CVE-2024-35515 is a critical insecure deserialization vulnerability found in sqlitedict, a Python library that provides a persistent dictionary interface backed by SQLite. Versions up to 2.1.0 are affected. The vulnerability arises because sqlitedict deserializes data without sufficient validation or sanitization, allowing attackers to inject malicious serialized objects. When these objects are deserialized, arbitrary code execution can occur, granting attackers full control over the affected system. The vulnerability has a CVSS 3.1 base score of 9.8, reflecting its high impact and ease of exploitation. The attack vector is network-based (AV:N), requiring no privileges (PR:N) or user interaction (UI:N), and the scope is unchanged (S:U). This means an unauthenticated attacker can remotely exploit the vulnerability to compromise confidentiality, integrity, and availability. The underlying weakness corresponds to CWE-94 (Improper Control of Generation of Code). No official patches have been linked yet, and no exploits are publicly known, but the risk remains high due to the nature of the vulnerability and the popularity of sqlitedict in Python applications for lightweight persistent storage.
Potential Impact
The impact of CVE-2024-35515 is severe for organizations worldwide that use sqlitedict in their Python applications. Successful exploitation leads to arbitrary code execution, which can result in full system compromise, data theft, data manipulation, or service disruption. This threatens the confidentiality, integrity, and availability of affected systems. Since sqlitedict is often used in data-centric applications, including those in research, analytics, and lightweight data caching, the vulnerability could enable attackers to pivot into broader network environments. The lack of required authentication or user interaction lowers the barrier for attackers, increasing the likelihood of automated exploitation attempts once public exploits emerge. Organizations relying on cloud services or containerized environments that include vulnerable sqlitedict versions may face escalated risks. The absence of known exploits currently provides a window for proactive mitigation, but the critical severity demands urgent attention.
Mitigation Recommendations
To mitigate CVE-2024-35515, organizations should immediately audit their Python environments for the presence of sqlitedict versions up to 2.1.0 and plan for an upgrade once a patched version is released. Until a patch is available, avoid deserializing untrusted or unauthenticated data inputs through sqlitedict. Implement strict input validation and sanitization on all data sources feeding into sqlitedict. Employ application-layer controls such as sandboxing or running vulnerable components with least privilege to limit potential damage. Monitor logs and network traffic for unusual activity indicative of exploitation attempts, such as unexpected deserialization operations or anomalous process behavior. Consider isolating services using sqlitedict from critical infrastructure until the vulnerability is resolved. Engage with the sqlitedict maintainers or community for updates and recommended fixes. Finally, incorporate secure coding practices to prevent insecure deserialization in future development.
Affected Countries
United States, Germany, United Kingdom, India, China, Japan, Canada, Australia, France, Netherlands
CVE-2024-35515: n/a
Description
Insecure deserialization in sqlitedict up to v2.1.0 allows attackers to execute arbitrary code.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2024-35515 is a critical insecure deserialization vulnerability found in sqlitedict, a Python library that provides a persistent dictionary interface backed by SQLite. Versions up to 2.1.0 are affected. The vulnerability arises because sqlitedict deserializes data without sufficient validation or sanitization, allowing attackers to inject malicious serialized objects. When these objects are deserialized, arbitrary code execution can occur, granting attackers full control over the affected system. The vulnerability has a CVSS 3.1 base score of 9.8, reflecting its high impact and ease of exploitation. The attack vector is network-based (AV:N), requiring no privileges (PR:N) or user interaction (UI:N), and the scope is unchanged (S:U). This means an unauthenticated attacker can remotely exploit the vulnerability to compromise confidentiality, integrity, and availability. The underlying weakness corresponds to CWE-94 (Improper Control of Generation of Code). No official patches have been linked yet, and no exploits are publicly known, but the risk remains high due to the nature of the vulnerability and the popularity of sqlitedict in Python applications for lightweight persistent storage.
Potential Impact
The impact of CVE-2024-35515 is severe for organizations worldwide that use sqlitedict in their Python applications. Successful exploitation leads to arbitrary code execution, which can result in full system compromise, data theft, data manipulation, or service disruption. This threatens the confidentiality, integrity, and availability of affected systems. Since sqlitedict is often used in data-centric applications, including those in research, analytics, and lightweight data caching, the vulnerability could enable attackers to pivot into broader network environments. The lack of required authentication or user interaction lowers the barrier for attackers, increasing the likelihood of automated exploitation attempts once public exploits emerge. Organizations relying on cloud services or containerized environments that include vulnerable sqlitedict versions may face escalated risks. The absence of known exploits currently provides a window for proactive mitigation, but the critical severity demands urgent attention.
Mitigation Recommendations
To mitigate CVE-2024-35515, organizations should immediately audit their Python environments for the presence of sqlitedict versions up to 2.1.0 and plan for an upgrade once a patched version is released. Until a patch is available, avoid deserializing untrusted or unauthenticated data inputs through sqlitedict. Implement strict input validation and sanitization on all data sources feeding into sqlitedict. Employ application-layer controls such as sandboxing or running vulnerable components with least privilege to limit potential damage. Monitor logs and network traffic for unusual activity indicative of exploitation attempts, such as unexpected deserialization operations or anomalous process behavior. Consider isolating services using sqlitedict from critical infrastructure until the vulnerability is resolved. Engage with the sqlitedict maintainers or community for updates and recommended fixes. Finally, incorporate secure coding practices to prevent insecure deserialization in future development.
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- mitre
- Date Reserved
- 2024-05-17T00:00:00.000Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 699f6c5ab7ef31ef0b5633fc
Added to database: 2/25/2026, 9:40:42 PM
Last enriched: 2/28/2026, 3:21:30 AM
Last updated: 4/12/2026, 3:44:30 PM
Views: 20
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