CWE-779
Logging of Excessive Data
The product logs too much information, making log files hard to process and possibly hindering recovery efforts or forensic analysis after an attack.
CVE-2024-1141 (GCVE-0-2024-1141)
Vulnerability from cvelistv5
Published
2024-02-01 14:21
Modified
2025-08-30 09:10
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-779 - Logging of Excessive Data
Summary
A vulnerability was found in python-glance-store. The issue occurs when the package logs the access_key for the glance-store when the DEBUG log level is enabled.
References
| ▼ | URL | Tags |
|---|---|---|
| https://access.redhat.com/errata/RHSA-2024:2732 | vendor-advisory, x_refsource_REDHAT | |
| https://access.redhat.com/security/cve/CVE-2024-1141 | vdb-entry, x_refsource_REDHAT | |
| https://bugzilla.redhat.com/show_bug.cgi?id=2258836 | issue-tracking, x_refsource_REDHAT |
Impacted products
| Vendor | Product | Version | ||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ▼ |
Version: 0 < 4.7.0 |
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|
||||||||||||||||||||||||
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CVE-2025-53636 (GCVE-0-2025-53636)
Vulnerability from cvelistv5
Published
2025-07-11 21:20
Modified
2025-07-14 20:13
Severity ?
VLAI Severity ?
EPSS score ?
Summary
Open OnDemand is an open-source HPC portal. Users can flood logs by interacting with the shell app and generating many errors. Users who flood logs can create very large log files causing a Denial of Service (DoS) to the ondemand system. This vulnerability is fixed in 3.1.14 and 4.0.6.
References
| ▼ | URL | Tags |
|---|---|---|
| https://github.com/OSC/ondemand/security/advisories/GHSA-x5xv-fw37-v524 | x_refsource_CONFIRM | |
| https://github.com/OSC/ondemand/commit/40800d68cd019c5f1c48b2deafebba6dff4abee2 | x_refsource_MISC | |
| https://github.com/OSC/ondemand/commit/96f29b995e1add7562516614e4dc8d961987e8b4 | x_refsource_MISC |
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CVE-2025-8696 (GCVE-0-2025-8696)
Vulnerability from cvelistv5
Published
2025-09-10 17:59
Modified
2025-09-11 14:42
Severity ?
VLAI Severity ?
EPSS score ?
Summary
If an unauthenticated user sends a large amount of data to the Stork UI, it may cause memory and disk use problems for the system running the Stork server.
This issue affects Stork versions 1.0.0 through 2.3.0.
References
| ▼ | URL | Tags |
|---|---|---|
| https://kb.isc.org/docs/cve-2025-8696 | vendor-advisory |
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Mitigation
Phase: Architecture and Design
Description:
- Suppress large numbers of duplicate log messages and replace them with periodic summaries. For example, syslog may include an entry that states "last message repeated X times" when recording repeated events.
Mitigation
Phase: Architecture and Design
Description:
- Support a maximum size for the log file that can be controlled by the administrator. If the maximum size is reached, the admin should be notified. Also, consider reducing functionality of the product. This may result in a denial-of-service to legitimate product users, but it will prevent the product from adversely impacting the entire system.
Mitigation
Phase: Implementation
Description:
- Adjust configurations appropriately when the product is transitioned from a debug state to production.
No CAPEC attack patterns related to this CWE.