CWE-532
AllowedInsertion of Sensitive Information into Log File
Abstraction: Base · Status: Incomplete
The product writes sensitive information to a log file.
1831 vulnerabilities reference this CWE, most recent first.
CVE-2026-23493 (GCVE-0-2026-23493)
Vulnerability from cvelistv5 – Published: 2026-01-15 16:38 – Updated: 2026-01-15 19:02- CWE-532 - Insertion of Sensitive Information into Log File
| URL | Tags |
|---|---|
| https://github.com/pimcore/pimcore/security/advis… | x_refsource_CONFIRM |
| https://github.com/pimcore/pimcore/pull/18918 | x_refsource_MISC |
| https://github.com/pimcore/pimcore/commit/002ec7d… | x_refsource_MISC |
| https://github.com/pimcore/pimcore/releases/tag/v… | x_refsource_MISC |
| https://github.com/pimcore/pimcore/releases/tag/v12.3.1 | x_refsource_MISC |
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"value": "Pimcore is an Open Source Data \u0026 Experience Management Platform. Prior to 12.3.1 and 11.5.14, the http_error_log file stores the $_COOKIE and $_SERVER variables, which means sensitive information such as database passwords, cookie session data, and other details can be accessed or recovered through the Pimcore backend. This vulnerability is fixed in 12.3.1 and 11.5.14."
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CVE-2026-22798 (GCVE-0-2026-22798)
Vulnerability from cvelistv5 – Published: 2026-01-12 22:00 – Updated: 2026-01-13 19:08- CWE-532 - Insertion of Sensitive Information into Log File
| URL | Tags |
|---|---|
| https://github.com/softwarepub/hermes/security/ad… | x_refsource_CONFIRM |
| https://github.com/softwarepub/hermes/commit/7f64… | x_refsource_MISC |
| https://github.com/softwarepub/hermes/commit/90cb… | x_refsource_MISC |
| Vendor | Product | Version | |
|---|---|---|---|
| softwarepub | hermes |
Affected:
>= 0.8.1, < 0.9.1
|
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CVE-2026-22782 (GCVE-0-2026-22782)
Vulnerability from cvelistv5 – Published: 2026-01-16 16:14 – Updated: 2026-01-16 16:36- CWE-532 - Insertion of Sensitive Information into Log File
| URL | Tags |
|---|---|
| https://github.com/rustfs/rustfs/security/advisor… | x_refsource_CONFIRM |
| https://github.com/rustfs/rustfs/commit/6b2eebee1… | x_refsource_MISC |
| https://github.com/rustfs/rustfs/blob/9e162b6e9eb… | x_refsource_MISC |
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CVE-2026-22778 (GCVE-0-2026-22778)
Vulnerability from cvelistv5 – Published: 2026-02-02 21:09 – Updated: 2026-07-15 01:19| Vendor | Product | Version | |
|---|---|---|---|
| vllm-project | vllm |
Affected:
>= 0.8.3, < 0.14.1
|
|
| Red Hat | Red Hat AI Inference Server 3.2 |
Unaffected:
1772160593 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.2::el9 |
|
| Red Hat | Red Hat AI Inference Server 3.2 |
Unaffected:
1772160625 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.2::el9 |
|
| Red Hat | Red Hat AI Inference Server 3.3 |
Unaffected:
1782352919 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.3::el9 |
|
| Red Hat | Red Hat AI Inference Server 3.3 |
Unaffected:
1782353093 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.3::el9 |
|
| Red Hat | Red Hat AI Inference Server 3.3 |
Unaffected:
1782352847 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.3::el9 |
|
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected:
1772093436 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.25::el9 |
|
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected:
1772093276 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.25::el9 |
|
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected:
1772093278 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.25::el9 |
|
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected:
1772093237 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.25::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.3 |
Unaffected:
1778264363 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.3::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.3 |
Unaffected:
1770956034 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.3::el9 |
|
| Red Hat | Red Hat AI Inference Server |
cpe:/a:redhat:ai_inference_server:3
|
|
| Red Hat | Red Hat Enterprise Linux AI (RHEL AI) 3 |
cpe:/a:redhat:enterprise_linux_ai:3
|
|
| Red Hat | Red Hat OpenShift AI (RHOAI) |
cpe:/a:redhat:openshift_ai
|
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CVE-2026-22098 (GCVE-0-2026-22098)
Vulnerability from cvelistv5 – Published: 2026-07-13 09:10 – Updated: 2026-07-16 15:41| URL | Tags |
|---|---|
| https://csirt.divd.nl/DIVD-2026-00001/ | third-party-advisory |
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CVE-2026-22038 (GCVE-0-2026-22038)
Vulnerability from cvelistv5 – Published: 2026-02-04 22:28 – Updated: 2026-02-05 15:04- CWE-532 - Insertion of Sensitive Information into Log File
| URL | Tags |
|---|---|
| https://github.com/Significant-Gravitas/AutoGPT/s… | x_refsource_CONFIRM |
| https://github.com/Significant-Gravitas/AutoGPT/c… | x_refsource_MISC |
| Vendor | Product | Version | |
|---|---|---|---|
| Significant-Gravitas | AutoGPT |
Affected:
< autogpt-platform-beta-v0.6.46
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CVE-2026-21808 (GCVE-0-2026-21808)
Vulnerability from cvelistv5 – Published: 2026-08-26 22:03 – Updated: 2026-08-27 16:06- CWE-532 - Insertion of sensitive information into log file
| Vendor | Product | Version | |
|---|---|---|---|
| HCLSoftware | BigFix Quantum Risk Analyzer |
Affected:
2.0.1.47
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CVE-2026-21791 (GCVE-0-2026-21791)
Vulnerability from cvelistv5 – Published: 2026-03-10 10:10 – Updated: 2026-03-10 16:51- CWE-532 - Insertion of sensitive information into log file
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CVE-2026-21786 (GCVE-0-2026-21786)
Vulnerability from cvelistv5 – Published: 2026-03-05 07:15 – Updated: 2026-03-05 15:07- CWE-532 - Insertion of Sensitive Information into Log File
| Vendor | Product | Version | |
|---|---|---|---|
| HCLSoftware | Sametime for iOS |
Affected:
< 12.0.26
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CVE-2026-21766 (GCVE-0-2026-21766)
Vulnerability from cvelistv5 – Published: 2026-08-05 20:11 – Updated: 2026-08-06 13:12| Vendor | Product | Version | |
|---|---|---|---|
| HCLSoftware | HCL Digital Experience and Digital Experience Compose |
Affected:
9.5
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Mitigation
Consider seriously the sensitivity of the information written into log files. Do not write secrets into the log files.
Mitigation
Remove debug log files before deploying the application into production.
Mitigation
Protect log files against unauthorized read/write.
Mitigation
Adjust configurations appropriately when software is transitioned from a debug state to production.
CAPEC-215: Fuzzing for application mapping
An attacker sends random, malformed, or otherwise unexpected messages to a target application and observes the application's log or error messages returned. The attacker does not initially know how a target will respond to individual messages but by attempting a large number of message variants they may find a variant that trigger's desired behavior. In this attack, the purpose of the fuzzing is to observe the application's log and error messages, although fuzzing a target can also sometimes cause the target to enter an unstable state, causing a crash.