GHSA-c2f9-4mc8-j656: pyLoad: Unbounded Memory Growth Leading to DoS and Potential DDoS in EventManager
The pyLoad EventManager module suffers from unbounded memory growth due to accumulation of Client instances for unique UUIDs from the get_events API. The clean() method intended to remove inactive clients is never invoked, causing memory consumption to grow indefinitely. This leads to denial of service (DoS) as system memory is exhausted, potentially causing an out-of-memory kill or system instability. Exploitation involves sending many requests with unique UUIDs to the getEvents API endpoint. No official patch is currently available. Mitigations include invoking the clean() method in the get_events handler and implementing rate limiting on the API endpoint.
AI Analysis
Technical Summary
The vulnerability in pyLoad's EventManager module arises because each unique UUID from the get_events API causes a new Client instance to be appended to an internal clients list without ever removing inactive clients. Although a clean() method exists to remove non-responding clients, it is never called in the codebase. This results in uncontrolled memory growth as the clients list expands indefinitely with each unique UUID request. Attackers can exploit this by sending a large number of requests with unique UUIDs, causing the pyLoad process to consume all available memory, leading to denial of service. The vulnerability is classified under CWE-400 (Uncontrolled Resource Consumption), CWE-401 (Improper Release of Memory), and CWE-770 (Allocation of Resources Without Limits or Throttling). No official patch or fix is currently documented. Recommended mitigations are to call the clean() method to purge inactive clients before processing new requests and to implement rate limiting on the getEvents API endpoint to prevent flooding.
Potential Impact
The vulnerability causes the pyLoad process to consume increasing amounts of memory without release, eventually exhausting system memory. This leads to denial of service conditions, including potential out-of-memory kills by the operating system or broader system instability affecting other services on the host. There is no direct impact on confidentiality or integrity reported.
Mitigation Recommendations
No official patch or fix is currently available. It is recommended to modify the pyLoad EventManager code to invoke the clean() method at the start of the get_events API handler to remove inactive Client instances and prevent unbounded memory growth. Additionally, implementing rate limiting on the getEvents API endpoint can help prevent abuse by limiting the number of unique UUID requests from a single client. Monitor for updates from the vendor or project repository for any official fixes.
GHSA-c2f9-4mc8-j656: pyLoad: Unbounded Memory Growth Leading to DoS and Potential DDoS in EventManager
Description
The pyLoad EventManager module suffers from unbounded memory growth due to accumulation of Client instances for unique UUIDs from the get_events API. The clean() method intended to remove inactive clients is never invoked, causing memory consumption to grow indefinitely. This leads to denial of service (DoS) as system memory is exhausted, potentially causing an out-of-memory kill or system instability. Exploitation involves sending many requests with unique UUIDs to the getEvents API endpoint. No official patch is currently available. Mitigations include invoking the clean() method in the get_events handler and implementing rate limiting on the API endpoint.
CVSS v3.1
Affected software
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AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The vulnerability in pyLoad's EventManager module arises because each unique UUID from the get_events API causes a new Client instance to be appended to an internal clients list without ever removing inactive clients. Although a clean() method exists to remove non-responding clients, it is never called in the codebase. This results in uncontrolled memory growth as the clients list expands indefinitely with each unique UUID request. Attackers can exploit this by sending a large number of requests with unique UUIDs, causing the pyLoad process to consume all available memory, leading to denial of service. The vulnerability is classified under CWE-400 (Uncontrolled Resource Consumption), CWE-401 (Improper Release of Memory), and CWE-770 (Allocation of Resources Without Limits or Throttling). No official patch or fix is currently documented. Recommended mitigations are to call the clean() method to purge inactive clients before processing new requests and to implement rate limiting on the getEvents API endpoint to prevent flooding.
Potential Impact
The vulnerability causes the pyLoad process to consume increasing amounts of memory without release, eventually exhausting system memory. This leads to denial of service conditions, including potential out-of-memory kills by the operating system or broader system instability affecting other services on the host. There is no direct impact on confidentiality or integrity reported.
Mitigation Recommendations
No official patch or fix is currently available. It is recommended to modify the pyLoad EventManager code to invoke the clean() method at the start of the get_events API handler to remove inactive Client instances and prevent unbounded memory growth. Additionally, implementing rate limiting on the getEvents API endpoint can help prevent abuse by limiting the number of unique UUID requests from a single client. Monitor for updates from the vendor or project repository for any official fixes.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- GHSA-c2f9-4mc8-j656
- Osv Schema Version
- 1.4.0
- Aliases
- ["CVE-2026-48987"]
- Ecosystems
- ["PyPI"]
- Database Specific Severity
- MODERATE
- Cvss Version
- 3.1
Threat ID: 6a4fa9a168715ace437d3e23
Added to database: 07/09/2026, 14:01:05 UTC
Last enriched: 07/09/2026, 14:03:17 UTC
Last updated: 07/09/2026, 20:15:48 UTC
Views: 9
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