CVE-2024-8061: CWE-1088 Synchronous Access of Remote Resource without Timeout in aimhubio aimhubio/aim
In version 3.23.0 of aimhubio/aim, certain methods that request data from external servers do not have set timeouts, causing the server to wait indefinitely for a response. This can lead to a denial of service, as the tracking server does not respond to other requests while waiting. The issue arises in the client used by the `aim` tracking server to communicate with external resources, specifically in the `_run_read_instructions` method and similar calls without timeouts.
AI Analysis
Technical Summary
CVE-2024-8061 is a vulnerability classified under CWE-1088, which involves synchronous access of remote resources without a timeout mechanism in the aimhubio/aim software, specifically version 3.23.0. The vulnerability arises because certain methods, including _run_read_instructions, make blocking calls to external servers without specifying a timeout. As a result, if the external server is slow or unresponsive, the aim tracking server waits indefinitely, causing it to become unresponsive to other incoming requests. This effectively results in a denial of service (DoS) condition, impacting the availability of the tracking service. The vulnerability is remotely exploitable without requiring any authentication or user interaction, making it easier for attackers to trigger. The CVSS v3.0 score of 7.5 reflects a high severity primarily due to the impact on availability (A:H), with no impact on confidentiality or integrity. The vulnerability affects unspecified versions but is confirmed in 3.23.0. No patches or known exploits are currently reported, but the issue is critical for environments relying on uninterrupted tracking services. The root cause is a lack of defensive programming practices around network calls, specifically the omission of timeout parameters that would prevent indefinite blocking.
Potential Impact
For European organizations, the primary impact of CVE-2024-8061 is on service availability. Organizations using aimhubio/aim for AI model tracking, data collection, or telemetry could experience denial of service if an attacker or network issues cause the external resource calls to hang. This could disrupt business-critical AI workflows, delay analytics, and reduce operational efficiency. In sectors like finance, healthcare, and manufacturing where AI tracking is integral, such disruptions could have cascading effects on decision-making and compliance reporting. Additionally, the inability to process tracking data timely may affect performance monitoring and anomaly detection. Since the vulnerability does not impact confidentiality or integrity, data breaches are less likely, but operational downtime and loss of trust in AI infrastructure reliability are significant concerns. The ease of remote exploitation without authentication increases the threat surface, especially for publicly accessible tracking servers.
Mitigation Recommendations
To mitigate CVE-2024-8061, organizations should immediately review and update their aimhubio/aim deployments to ensure all external resource requests include explicit timeout settings to prevent indefinite blocking. Developers should audit the _run_read_instructions method and similar network calls to add appropriate timeout parameters based on expected response times. Until an official patch is released, consider implementing network-level controls such as rate limiting and monitoring for unusual request patterns that could trigger the DoS condition. Deploying application-layer firewalls or reverse proxies that enforce request timeouts can also help mitigate impact. Organizations should maintain robust monitoring and alerting on the availability and responsiveness of the aim tracking server to detect early signs of service degradation. Finally, keep abreast of vendor updates and apply patches promptly once available.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden, Finland, Denmark
CVE-2024-8061: CWE-1088 Synchronous Access of Remote Resource without Timeout in aimhubio aimhubio/aim
Description
In version 3.23.0 of aimhubio/aim, certain methods that request data from external servers do not have set timeouts, causing the server to wait indefinitely for a response. This can lead to a denial of service, as the tracking server does not respond to other requests while waiting. The issue arises in the client used by the `aim` tracking server to communicate with external resources, specifically in the `_run_read_instructions` method and similar calls without timeouts.
AI-Powered Analysis
Technical Analysis
CVE-2024-8061 is a vulnerability classified under CWE-1088, which involves synchronous access of remote resources without a timeout mechanism in the aimhubio/aim software, specifically version 3.23.0. The vulnerability arises because certain methods, including _run_read_instructions, make blocking calls to external servers without specifying a timeout. As a result, if the external server is slow or unresponsive, the aim tracking server waits indefinitely, causing it to become unresponsive to other incoming requests. This effectively results in a denial of service (DoS) condition, impacting the availability of the tracking service. The vulnerability is remotely exploitable without requiring any authentication or user interaction, making it easier for attackers to trigger. The CVSS v3.0 score of 7.5 reflects a high severity primarily due to the impact on availability (A:H), with no impact on confidentiality or integrity. The vulnerability affects unspecified versions but is confirmed in 3.23.0. No patches or known exploits are currently reported, but the issue is critical for environments relying on uninterrupted tracking services. The root cause is a lack of defensive programming practices around network calls, specifically the omission of timeout parameters that would prevent indefinite blocking.
Potential Impact
For European organizations, the primary impact of CVE-2024-8061 is on service availability. Organizations using aimhubio/aim for AI model tracking, data collection, or telemetry could experience denial of service if an attacker or network issues cause the external resource calls to hang. This could disrupt business-critical AI workflows, delay analytics, and reduce operational efficiency. In sectors like finance, healthcare, and manufacturing where AI tracking is integral, such disruptions could have cascading effects on decision-making and compliance reporting. Additionally, the inability to process tracking data timely may affect performance monitoring and anomaly detection. Since the vulnerability does not impact confidentiality or integrity, data breaches are less likely, but operational downtime and loss of trust in AI infrastructure reliability are significant concerns. The ease of remote exploitation without authentication increases the threat surface, especially for publicly accessible tracking servers.
Mitigation Recommendations
To mitigate CVE-2024-8061, organizations should immediately review and update their aimhubio/aim deployments to ensure all external resource requests include explicit timeout settings to prevent indefinite blocking. Developers should audit the _run_read_instructions method and similar network calls to add appropriate timeout parameters based on expected response times. Until an official patch is released, consider implementing network-level controls such as rate limiting and monitoring for unusual request patterns that could trigger the DoS condition. Deploying application-layer firewalls or reverse proxies that enforce request timeouts can also help mitigate impact. Organizations should maintain robust monitoring and alerting on the availability and responsiveness of the aim tracking server to detect early signs of service degradation. Finally, keep abreast of vendor updates and apply patches promptly once available.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- @huntr_ai
- Date Reserved
- 2024-08-21T18:54:46.470Z
- Cvss Version
- 3.0
- State
- PUBLISHED
Threat ID: 68ef9b2d178f764e1f470e3c
Added to database: 10/15/2025, 1:01:33 PM
Last enriched: 10/15/2025, 1:21:15 PM
Last updated: 12/2/2025, 11:23:35 AM
Views: 38
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