CVE-2022-40308: Arbitrary file read vulnerability in Apache Software Foundation Apache Archiva
If anonymous read enabled, it's possible to read the database file directly without logging in.
AI Analysis
Technical Summary
CVE-2022-40308 is a high-severity arbitrary file read vulnerability affecting Apache Archiva, a repository management software developed by the Apache Software Foundation. The vulnerability arises when the 'anonymous read' feature is enabled, allowing unauthenticated users to directly read the database file without requiring login credentials. This flaw enables attackers to access sensitive information stored within the database, potentially including configuration details, user data, or other confidential repository metadata. The vulnerability has a CVSS 3.1 base score of 7.5, reflecting its high impact due to the ease of exploitation (network accessible, no authentication or user interaction required) and the significant confidentiality impact. The vulnerability does not affect integrity or availability directly but compromises confidentiality by exposing sensitive data. No known exploits are currently reported in the wild, and no official patches or mitigation links were provided in the source information. The vulnerability was published on November 15, 2022, and was reserved in September 2022. Since Apache Archiva is commonly used by organizations to manage internal and external software artifacts, this vulnerability poses a risk of data leakage if anonymous read access is enabled and the system is exposed to untrusted networks.
Potential Impact
For European organizations, the impact of CVE-2022-40308 can be significant, especially for those relying on Apache Archiva for managing software repositories and artifact storage. Exposure of the database file could lead to leakage of sensitive information such as repository metadata, user credentials, or internal configuration details, potentially facilitating further attacks or unauthorized access to software supply chains. This is particularly critical for sectors with stringent data protection requirements such as finance, healthcare, and government entities within Europe. Additionally, the exposure of internal repository data could undermine trust in software integrity and compliance with regulations like GDPR if personal or sensitive data is inadvertently stored or referenced in the database. The fact that no authentication is required and the vulnerability can be exploited remotely increases the risk, especially if Archiva instances are accessible from the internet or poorly segmented networks. However, the lack of known exploits in the wild suggests that the threat is currently theoretical but should be addressed proactively to prevent future exploitation.
Mitigation Recommendations
European organizations should take immediate steps to mitigate this vulnerability. First, disable the 'anonymous read' feature in Apache Archiva unless absolutely necessary, as this is the primary condition enabling the vulnerability. If anonymous read access is required, restrict access to trusted internal networks only, using network segmentation and firewall rules to prevent exposure to untrusted or public networks. Organizations should monitor and audit access logs for unusual or unauthorized read attempts on the Archiva database files. Applying the latest security updates or patches from the Apache Software Foundation is critical once available; in the absence of official patches, consider temporary workarounds such as restricting file permissions on the database file to prevent unauthorized read access. Additionally, implement strict access control policies and consider deploying web application firewalls (WAFs) to detect and block suspicious requests targeting the Archiva instance. Regular security assessments and vulnerability scans should include checks for this specific issue to ensure ongoing protection.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain, Sweden, Poland
CVE-2022-40308: Arbitrary file read vulnerability in Apache Software Foundation Apache Archiva
Description
If anonymous read enabled, it's possible to read the database file directly without logging in.
AI-Powered Analysis
Technical Analysis
CVE-2022-40308 is a high-severity arbitrary file read vulnerability affecting Apache Archiva, a repository management software developed by the Apache Software Foundation. The vulnerability arises when the 'anonymous read' feature is enabled, allowing unauthenticated users to directly read the database file without requiring login credentials. This flaw enables attackers to access sensitive information stored within the database, potentially including configuration details, user data, or other confidential repository metadata. The vulnerability has a CVSS 3.1 base score of 7.5, reflecting its high impact due to the ease of exploitation (network accessible, no authentication or user interaction required) and the significant confidentiality impact. The vulnerability does not affect integrity or availability directly but compromises confidentiality by exposing sensitive data. No known exploits are currently reported in the wild, and no official patches or mitigation links were provided in the source information. The vulnerability was published on November 15, 2022, and was reserved in September 2022. Since Apache Archiva is commonly used by organizations to manage internal and external software artifacts, this vulnerability poses a risk of data leakage if anonymous read access is enabled and the system is exposed to untrusted networks.
Potential Impact
For European organizations, the impact of CVE-2022-40308 can be significant, especially for those relying on Apache Archiva for managing software repositories and artifact storage. Exposure of the database file could lead to leakage of sensitive information such as repository metadata, user credentials, or internal configuration details, potentially facilitating further attacks or unauthorized access to software supply chains. This is particularly critical for sectors with stringent data protection requirements such as finance, healthcare, and government entities within Europe. Additionally, the exposure of internal repository data could undermine trust in software integrity and compliance with regulations like GDPR if personal or sensitive data is inadvertently stored or referenced in the database. The fact that no authentication is required and the vulnerability can be exploited remotely increases the risk, especially if Archiva instances are accessible from the internet or poorly segmented networks. However, the lack of known exploits in the wild suggests that the threat is currently theoretical but should be addressed proactively to prevent future exploitation.
Mitigation Recommendations
European organizations should take immediate steps to mitigate this vulnerability. First, disable the 'anonymous read' feature in Apache Archiva unless absolutely necessary, as this is the primary condition enabling the vulnerability. If anonymous read access is required, restrict access to trusted internal networks only, using network segmentation and firewall rules to prevent exposure to untrusted or public networks. Organizations should monitor and audit access logs for unusual or unauthorized read attempts on the Archiva database files. Applying the latest security updates or patches from the Apache Software Foundation is critical once available; in the absence of official patches, consider temporary workarounds such as restricting file permissions on the database file to prevent unauthorized read access. Additionally, implement strict access control policies and consider deploying web application firewalls (WAFs) to detect and block suspicious requests targeting the Archiva instance. Regular security assessments and vulnerability scans should include checks for this specific issue to ensure ongoing protection.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- apache
- Date Reserved
- 2022-09-09T00:00:00.000Z
- Cisa Enriched
- true
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 682d983bc4522896dcbedba7
Added to database: 5/21/2025, 9:09:15 AM
Last enriched: 7/2/2025, 3:42:41 AM
Last updated: 7/30/2025, 6:33:30 AM
Views: 10
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