CVE-2022-41413: n/a in n/a
perfSONAR v4.x <= v4.4.5 was discovered to contain a Cross-Site Request Forgery (CSRF) which is triggered when an attacker injects crafted input into the Search function.
AI Analysis
Technical Summary
CVE-2022-41413 is a Cross-Site Request Forgery (CSRF) vulnerability identified in perfSONAR versions up to and including v4.4.5. perfSONAR is a widely used network measurement toolkit designed to provide federated coverage of network performance metrics, often deployed in research and education networks as well as some enterprise environments. The vulnerability arises from insufficient CSRF protections in the Search function of the application, allowing an attacker to craft malicious requests that, when executed by an authenticated user, can perform unintended actions without their consent. Specifically, the attacker can inject crafted input into the Search functionality, which triggers the CSRF attack vector. The CVSS v3.1 base score is 4.3, indicating a medium severity level. The attack vector is network-based (AV:N), requires no privileges (PR:N), but does require user interaction (UI:R), and impacts integrity (I:L) without affecting confidentiality or availability. No known exploits are currently reported in the wild, and no patches or vendor-specific mitigations are provided in the information. The vulnerability is classified under CWE-352, which corresponds to CSRF issues, a common web application security weakness where state-changing requests can be forged by attackers to execute unauthorized commands on behalf of authenticated users. Given the nature of perfSONAR as a network performance monitoring tool, exploitation could lead to unauthorized manipulation of search queries or potentially other stateful operations accessible via the Search function, possibly affecting the integrity of monitoring data or configurations.
Potential Impact
For European organizations, particularly those involved in research, education, and network infrastructure monitoring, this vulnerability could undermine the integrity of network performance data collected and analyzed via perfSONAR. Since perfSONAR is often deployed in federated environments across academic and research institutions, exploitation could lead to misleading performance metrics or unauthorized changes in monitoring configurations, potentially disrupting network diagnostics and troubleshooting efforts. While the vulnerability does not directly compromise confidentiality or availability, the integrity impact could degrade trust in network monitoring results, affecting decision-making processes. Additionally, if attackers leverage this CSRF vulnerability in conjunction with other weaknesses, it could facilitate more complex attack chains. The requirement for user interaction reduces the likelihood of widespread automated exploitation but does not eliminate risk, especially in environments where users frequently interact with perfSONAR interfaces. The absence of known exploits in the wild suggests limited active targeting currently, but the medium severity and network accessibility mean European organizations should remain vigilant.
Mitigation Recommendations
To mitigate this CSRF vulnerability in perfSONAR, European organizations should implement the following specific measures: 1) Apply any available updates or patches from the perfSONAR project as soon as they are released; if no official patch exists, consider applying custom CSRF tokens to all state-changing requests, especially within the Search function. 2) Enforce strict Content Security Policy (CSP) headers and SameSite cookie attributes to limit the ability of malicious sites to perform cross-origin requests. 3) Educate users about the risks of interacting with untrusted links or sites while authenticated to perfSONAR interfaces to reduce the risk of social engineering leading to CSRF exploitation. 4) Implement network segmentation and access controls to restrict perfSONAR interface access to trusted networks and users only, minimizing exposure to external attackers. 5) Monitor logs for unusual or unexpected search queries or configuration changes that could indicate attempted exploitation. 6) Consider deploying Web Application Firewalls (WAFs) with custom rules to detect and block suspicious CSRF attempts targeting the Search function. 7) Regularly review and audit perfSONAR deployments for adherence to secure coding and configuration practices to prevent similar vulnerabilities.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden, Switzerland, Italy, Spain
CVE-2022-41413: n/a in n/a
Description
perfSONAR v4.x <= v4.4.5 was discovered to contain a Cross-Site Request Forgery (CSRF) which is triggered when an attacker injects crafted input into the Search function.
AI-Powered Analysis
Technical Analysis
CVE-2022-41413 is a Cross-Site Request Forgery (CSRF) vulnerability identified in perfSONAR versions up to and including v4.4.5. perfSONAR is a widely used network measurement toolkit designed to provide federated coverage of network performance metrics, often deployed in research and education networks as well as some enterprise environments. The vulnerability arises from insufficient CSRF protections in the Search function of the application, allowing an attacker to craft malicious requests that, when executed by an authenticated user, can perform unintended actions without their consent. Specifically, the attacker can inject crafted input into the Search functionality, which triggers the CSRF attack vector. The CVSS v3.1 base score is 4.3, indicating a medium severity level. The attack vector is network-based (AV:N), requires no privileges (PR:N), but does require user interaction (UI:R), and impacts integrity (I:L) without affecting confidentiality or availability. No known exploits are currently reported in the wild, and no patches or vendor-specific mitigations are provided in the information. The vulnerability is classified under CWE-352, which corresponds to CSRF issues, a common web application security weakness where state-changing requests can be forged by attackers to execute unauthorized commands on behalf of authenticated users. Given the nature of perfSONAR as a network performance monitoring tool, exploitation could lead to unauthorized manipulation of search queries or potentially other stateful operations accessible via the Search function, possibly affecting the integrity of monitoring data or configurations.
Potential Impact
For European organizations, particularly those involved in research, education, and network infrastructure monitoring, this vulnerability could undermine the integrity of network performance data collected and analyzed via perfSONAR. Since perfSONAR is often deployed in federated environments across academic and research institutions, exploitation could lead to misleading performance metrics or unauthorized changes in monitoring configurations, potentially disrupting network diagnostics and troubleshooting efforts. While the vulnerability does not directly compromise confidentiality or availability, the integrity impact could degrade trust in network monitoring results, affecting decision-making processes. Additionally, if attackers leverage this CSRF vulnerability in conjunction with other weaknesses, it could facilitate more complex attack chains. The requirement for user interaction reduces the likelihood of widespread automated exploitation but does not eliminate risk, especially in environments where users frequently interact with perfSONAR interfaces. The absence of known exploits in the wild suggests limited active targeting currently, but the medium severity and network accessibility mean European organizations should remain vigilant.
Mitigation Recommendations
To mitigate this CSRF vulnerability in perfSONAR, European organizations should implement the following specific measures: 1) Apply any available updates or patches from the perfSONAR project as soon as they are released; if no official patch exists, consider applying custom CSRF tokens to all state-changing requests, especially within the Search function. 2) Enforce strict Content Security Policy (CSP) headers and SameSite cookie attributes to limit the ability of malicious sites to perform cross-origin requests. 3) Educate users about the risks of interacting with untrusted links or sites while authenticated to perfSONAR interfaces to reduce the risk of social engineering leading to CSRF exploitation. 4) Implement network segmentation and access controls to restrict perfSONAR interface access to trusted networks and users only, minimizing exposure to external attackers. 5) Monitor logs for unusual or unexpected search queries or configuration changes that could indicate attempted exploitation. 6) Consider deploying Web Application Firewalls (WAFs) with custom rules to detect and block suspicious CSRF attempts targeting the Search function. 7) Regularly review and audit perfSONAR deployments for adherence to secure coding and configuration practices to prevent similar vulnerabilities.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- mitre
- Date Reserved
- 2022-09-26T00:00:00.000Z
- Cisa Enriched
- true
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 682d9837c4522896dcbeba90
Added to database: 5/21/2025, 9:09:11 AM
Last enriched: 6/26/2025, 3:14:28 AM
Last updated: 8/14/2025, 4:35:38 AM
Views: 15
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