CWE-312
AllowedCleartext Storage of Sensitive Information
Abstraction: Base · Status: Draft
The product stores sensitive information in cleartext within a resource that might be accessible to another control sphere.
1097 vulnerabilities reference this CWE, most recent first.
GHSA-7HH5-PRP2-MFH5
Vulnerability from github – Published: 2026-05-21 17:42 – Updated: 2026-05-21 17:42Summary
Amazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the ModelBuilder/Serve component stores an HMAC signing key in cleartext as a container environment variable, which is returned in plaintext by SageMaker describe APIs.
Impact
When using ModelBuilder to build and deploy models with affected model servers (TorchServe, Multi-Model Server, TensorFlow Serving, SMD, or Triton), the SDK generates an HMAC secret key for model artifact integrity verification and stores it as the SAGEMAKER_SERVE_SECRET_KEY environment variable in the SageMaker model container configuration. This environment variable is returned in plaintext by the DescribeModel, DescribeEndpointConfig, and DescribeModelPackage APIs. A remote authenticated actor with permissions to call these describe APIs and S3 write access to the model artifact path could extract the key, forge valid integrity signatures for specially crafted model artifacts, and achieve code execution in inference containers with the SageMaker execution role's IAM permissions.
Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1
Patches
This issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. AWS recommend upgrading to the latest version and rebuilding any models previously created with ModelBuilder using the updated SDK. Models created with affected versions may still have the HMAC key stored in their container environment variables until they are rebuilt with the patched SDK. Ensure any forked or derivative code is patched to incorporate the new fixes.
Workarounds
If upgrading is not immediately possible, users can manually remove the SAGEMAKER_SERVE_SECRET_KEY environment variable from existing SageMaker models by recreating the model without this variable in the container environment configuration.
References
If there any questions or comments about this advisory, contact AWS Security via the vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue.
{
"affected": [
{
"database_specific": {
"last_known_affected_version_range": "\u003c= 2.257.1"
},
"package": {
"ecosystem": "PyPI",
"name": "sagemaker"
},
"ranges": [
{
"events": [
{
"introduced": "2.199.0"
},
{
"fixed": "2.257.2"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"database_specific": {
"last_known_affected_version_range": "\u003c= 3.7.1"
},
"package": {
"ecosystem": "PyPI",
"name": "sagemaker"
},
"ranges": [
{
"events": [
{
"introduced": "3.0.0"
},
{
"fixed": "3.8.0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2026-8596"
],
"database_specific": {
"cwe_ids": [
"CWE-312"
],
"github_reviewed": true,
"github_reviewed_at": "2026-05-21T17:42:40Z",
"nvd_published_at": "2026-05-14T20:17:21Z",
"severity": "HIGH"
},
"details": "## Summary\nAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the ModelBuilder/Serve component stores an HMAC signing key in cleartext as a container environment variable, which is returned in plaintext by SageMaker describe APIs.\n\n## Impact\nWhen using ModelBuilder to build and deploy models with affected model servers (TorchServe, Multi-Model Server, TensorFlow Serving, SMD, or Triton), the SDK generates an HMAC secret key for model artifact integrity verification and stores it as the SAGEMAKER_SERVE_SECRET_KEY environment variable in the SageMaker model container configuration. This environment variable is returned in plaintext by the DescribeModel, DescribeEndpointConfig, and DescribeModelPackage APIs. A remote authenticated actor with permissions to call these describe APIs and S3 write access to the model artifact path could extract the key, forge valid integrity signatures for specially crafted model artifacts, and achieve code execution in inference containers with the SageMaker execution role\u0027s IAM permissions.\n\n**Impacted versions:** \u003e= v2.199.0 AND \u003c= v2.257.1, \u003e= v3.0.0 AND \u003c= v3.7.1\n\n## Patches\nThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. AWS recommend upgrading to the latest version and rebuilding any models previously created with ModelBuilder using the updated SDK. Models created with affected versions may still have the HMAC key stored in their container environment variables until they are rebuilt with the patched SDK. Ensure any forked or derivative code is patched to incorporate the new fixes.\n\n## Workarounds\nIf upgrading is not immediately possible, users can manually remove the SAGEMAKER_SERVE_SECRET_KEY environment variable from existing SageMaker models by recreating the model without this variable in the container environment configuration.\n\n## References\nIf there any questions or comments about this advisory, contact AWS Security via the [vulnerability reporting page](https://aws.amazon.com/security/vulnerability-reporting) or directly via email to [aws-security@amazon.com](mailto:aws-security@amazon.com). Please do not create a public GitHub issue.",
"id": "GHSA-7hh5-prp2-mfh5",
"modified": "2026-05-21T17:42:40Z",
"published": "2026-05-21T17:42:40Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/aws/sagemaker-python-sdk/security/advisories/GHSA-7hh5-prp2-mfh5"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-8596"
},
{
"type": "WEB",
"url": "https://aws.amazon.com/security/security-bulletins/2026-031-aws"
},
{
"type": "PACKAGE",
"url": "https://github.com/aws/sagemaker-python-sdk"
},
{
"type": "WEB",
"url": "https://github.com/aws/sagemaker-python-sdk/releases/tag/v2.257.2"
},
{
"type": "WEB",
"url": "https://github.com/aws/sagemaker-python-sdk/releases/tag/v3.8.0"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:H/UI:N/VC:H/VI:N/VA:N/SC:H/SI:H/SA:H",
"type": "CVSS_V4"
}
],
"summary": "Cleartext storage of HMAC signing key in Amazon SageMaker Python SDK ModelBuilder/Serve path"
}
GHSA-7HP3-5W4X-8F7C
Vulnerability from github – Published: 2022-05-24 16:58 – Updated: 2023-10-27 15:46Jenkins SOASTA CloudTest Plugin stores credentials unencrypted in its global configuration file com.soasta.jenkins.CloudTestServer.xml on the Jenkins controller. These credentials could be viewed by users with access to the Jenkins controller file system.
As of publication of this advisory there is no fix.
{
"affected": [
{
"package": {
"ecosystem": "Maven",
"name": "com.soasta.jenkins:cloudtest"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"last_affected": "2.25"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2019-10451"
],
"database_specific": {
"cwe_ids": [
"CWE-312"
],
"github_reviewed": true,
"github_reviewed_at": "2023-10-27T15:46:33Z",
"nvd_published_at": "2019-10-16T14:15:00Z",
"severity": "MODERATE"
},
"details": "Jenkins SOASTA CloudTest Plugin stores credentials unencrypted in its global configuration file `com.soasta.jenkins.CloudTestServer.xml` on the Jenkins controller. These credentials could be viewed by users with access to the Jenkins controller file system.\n\nAs of publication of this advisory there is no fix.",
"id": "GHSA-7hp3-5w4x-8f7c",
"modified": "2023-10-27T15:46:33Z",
"published": "2022-05-24T16:58:50Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2019-10451"
},
{
"type": "WEB",
"url": "https://jenkins.io/security/advisory/2019-10-16/#SECURITY-1439"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N",
"type": "CVSS_V3"
}
],
"summary": "Jenkins SOASTA CloudTest Plugin stores API token in plain text"
}
GHSA-7J38-84H7-4XCV
Vulnerability from github – Published: 2025-05-29 21:31 – Updated: 2025-05-29 21:31Dell ThinOS 2502 and prior contain a Cleartext Storage of Sensitive Information vulnerability. A high privileged attacker with physical access could potentially exploit this vulnerability, leading to Information Disclosure.
{
"affected": [],
"aliases": [
"CVE-2025-32752"
],
"database_specific": {
"cwe_ids": [
"CWE-312"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-05-29T19:15:27Z",
"severity": "MODERATE"
},
"details": "Dell ThinOS 2502 and prior contain a Cleartext Storage of Sensitive Information vulnerability. A high privileged attacker with physical access could potentially exploit this vulnerability, leading to Information Disclosure.",
"id": "GHSA-7j38-84h7-4xcv",
"modified": "2025-05-29T21:31:37Z",
"published": "2025-05-29T21:31:37Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-32752"
},
{
"type": "WEB",
"url": "https://www.dell.com/support/kbdoc/en-us/000325632/dsa-2025-225"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:P/AC:H/PR:H/UI:R/S:U/C:H/I:L/A:L",
"type": "CVSS_V3"
}
]
}
GHSA-7JWV-QG8R-CQPF
Vulnerability from github – Published: 2023-07-20 18:33 – Updated: 2024-04-04 06:17Dell Wyse ThinOS versions prior to 2306 (9.4.2103) contain a sensitive information disclosure vulnerability. A malicious user with local access to the device could exploit this vulnerability to read sensitive information written to the log files.
{
"affected": [],
"aliases": [
"CVE-2023-32447"
],
"database_specific": {
"cwe_ids": [
"CWE-312",
"CWE-532"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2023-07-20T13:15:11Z",
"severity": "MODERATE"
},
"details": "\nDell Wyse ThinOS versions prior to 2306 (9.4.2103) contain a sensitive information disclosure vulnerability. A malicious user with local access to the device could exploit this vulnerability to read sensitive information written to the log files.\n\n",
"id": "GHSA-7jwv-qg8r-cqpf",
"modified": "2024-04-04T06:17:46Z",
"published": "2023-07-20T18:33:43Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-32447"
},
{
"type": "WEB",
"url": "https://www.dell.com/support/kbdoc/en-us/000215864/dsa-2023-247"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
"type": "CVSS_V3"
}
]
}
GHSA-7M3V-93H9-W27H
Vulnerability from github – Published: 2024-03-09 06:30 – Updated: 2024-08-27 00:31An issue was discovered in Newland Nquire 1000 Interactive Kiosk version NQ1000-II_G_V1.00.011, allows remote attackers to obtain sensitive information via cleartext credential storage in backup.htm component.
{
"affected": [],
"aliases": [
"CVE-2023-49341"
],
"database_specific": {
"cwe_ids": [
"CWE-312"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2024-03-09T05:15:08Z",
"severity": "HIGH"
},
"details": "An issue was discovered in Newland Nquire 1000 Interactive Kiosk version NQ1000-II_G_V1.00.011, allows remote attackers to obtain sensitive information via cleartext credential storage in backup.htm component.",
"id": "GHSA-7m3v-93h9-w27h",
"modified": "2024-08-27T00:31:32Z",
"published": "2024-03-09T06:30:41Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-49341"
},
{
"type": "WEB",
"url": "https://github.com/n0obit4/Vulnerability_Disclosure/tree/main/CVE-2023-49341"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"type": "CVSS_V3"
}
]
}
GHSA-7M7V-CJ32-7J8Q
Vulnerability from github – Published: 2025-10-02 18:31 – Updated: 2025-10-02 21:31Flock Safety Falcon and Sparrow License Plate Readers OPM1.171019.026 ship with development Wi-Fi credentials (test_flck) stored in cleartext in production firmware.
{
"affected": [],
"aliases": [
"CVE-2025-59409"
],
"database_specific": {
"cwe_ids": [
"CWE-312"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-10-02T17:16:08Z",
"severity": "HIGH"
},
"details": "Flock Safety Falcon and Sparrow License Plate Readers OPM1.171019.026 ship with development Wi-Fi credentials (test_flck) stored in cleartext in production firmware.",
"id": "GHSA-7m7v-cj32-7j8q",
"modified": "2025-10-02T21:31:19Z",
"published": "2025-10-02T18:31:01Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-59409"
},
{
"type": "WEB",
"url": "https://gainsec.com/2025/09/27/fly-by-device-2-the-falcon-sparrow-gated-wireless-rce-camera-feed-dos-information-disclosure-and-more"
},
{
"type": "WEB",
"url": "https://gainsec.com/wp-content/uploads/2025/09/Root-from-the-Coop-Device-3_-Root-Shell-on-Flock-Safetys-Bravo-Compute-Box-GainSec.pdf"
},
{
"type": "WEB",
"url": "https://www.flocksafety.com/products"
},
{
"type": "WEB",
"url": "https://www.flocksafety.com/products/license-plate-readers"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"type": "CVSS_V3"
}
]
}
GHSA-7MQX-GGQC-GWP8
Vulnerability from github – Published: 2026-08-20 00:35 – Updated: 2026-08-20 00:35In versions below 2.1.9 of the AWS IAM app for Splunk SOAR, a user who holds a role with permission to run actions could expose sensitive AWS credentials by invoking an action that accepts the credentials parameter, because the parameter is not masked and is shown in cleartext in the user interface. The information disclosure is possible because the app does not mark the affected action parameter as a password. For more information see Run an action in Splunk SOAR (https://help.splunk.com/en/splunk-soar/soar-on-premises/use-splunk-soar-on-premises/8.6.0/use-the-command-line-interface-to-perform-tasks-in-splunk-soar-on-premises/run-an-action-in-splunk-soar-on-premises).
{
"affected": [],
"aliases": [
"CVE-2026-76376"
],
"database_specific": {
"cwe_ids": [
"CWE-312"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-19T22:17:23Z",
"severity": "MODERATE"
},
"details": "In versions below 2.1.9 of the AWS IAM app for Splunk SOAR, a user who holds a role with permission to run actions could expose sensitive AWS credentials by invoking an action that accepts the credentials parameter, because the parameter is not masked and is shown in cleartext in the user interface. The information disclosure is possible because the app does not mark the affected action parameter as a password. For more information see Run an action in Splunk SOAR (https://help.splunk.com/en/splunk-soar/soar-on-premises/use-splunk-soar-on-premises/8.6.0/use-the-command-line-interface-to-perform-tasks-in-splunk-soar-on-premises/run-an-action-in-splunk-soar-on-premises).",
"id": "GHSA-7mqx-ggqc-gwp8",
"modified": "2026-08-20T00:35:04Z",
"published": "2026-08-20T00:35:04Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-76376"
},
{
"type": "WEB",
"url": "https://advisory.splunk.com/advisories/SVD-2026-0806"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N",
"type": "CVSS_V3"
}
]
}
GHSA-7MVQ-97Q9-R9GG
Vulnerability from github – Published: 2022-05-24 17:16 – Updated: 2022-05-24 17:16In Rukovoditel 2.5.2, users' passwords and usernames are stored in a cookie with URL encoding, base64 encoding, and hashing. Thus, an attacker can easily apply brute force on them.
{
"affected": [],
"aliases": [
"CVE-2020-11821"
],
"database_specific": {
"cwe_ids": [
"CWE-312"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2020-04-27T15:15:00Z",
"severity": "MODERATE"
},
"details": "In Rukovoditel 2.5.2, users\u0027 passwords and usernames are stored in a cookie with URL encoding, base64 encoding, and hashing. Thus, an attacker can easily apply brute force on them.",
"id": "GHSA-7mvq-97q9-r9gg",
"modified": "2022-05-24T17:16:34Z",
"published": "2022-05-24T17:16:34Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2020-11821"
},
{
"type": "WEB",
"url": "https://fatihhcelik.blogspot.com/2020/01/rukovoditel-password-hash-in-cookie-url.html"
}
],
"schema_version": "1.4.0",
"severity": []
}
GHSA-7P6Q-HQG2-6CPG
Vulnerability from github – Published: 2024-06-24 09:30 – Updated: 2024-07-03 18:46The decrypted configuration file contains the password in cleartext which is used to configure WINSelect. It can be used to remove the existing restrictions and disable WINSelect entirely.
{
"affected": [],
"aliases": [
"CVE-2024-36497"
],
"database_specific": {
"cwe_ids": [
"CWE-312"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2024-06-24T09:15:09Z",
"severity": "CRITICAL"
},
"details": "The decrypted configuration file contains the password in cleartext \nwhich is used to configure WINSelect. It can be used to remove the \nexisting restrictions and disable WINSelect entirely.",
"id": "GHSA-7p6q-hqg2-6cpg",
"modified": "2024-07-03T18:46:24Z",
"published": "2024-06-24T09:30:53Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-36497"
},
{
"type": "WEB",
"url": "https://r.sec-consult.com/winselect"
},
{
"type": "WEB",
"url": "https://www.faronics.com/en-uk/document-library/document/winselect-standard-release-notes"
},
{
"type": "WEB",
"url": "http://seclists.org/fulldisclosure/2024/Jun/12"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N",
"type": "CVSS_V3"
}
]
}
GHSA-7P78-G262-F9RP
Vulnerability from github – Published: 2022-07-26 00:01 – Updated: 2023-07-11 15:31LibreOffice supports the storage of passwords for web connections in the user’s configuration database. The stored passwords are encrypted with a single master key provided by the user. A flaw in LibreOffice existed where master key was poorly encoded resulting in weakening its entropy from 128 to 43 bits making the stored passwords vulerable to a brute force attack if an attacker has access to the users stored config. This issue affects: The Document Foundation LibreOffice 7.2 versions prior to 7.2.7; 7.3 versions prior to 7.3.3.
{
"affected": [],
"aliases": [
"CVE-2022-26307"
],
"database_specific": {
"cwe_ids": [
"CWE-312",
"CWE-326"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2022-07-25T15:15:00Z",
"severity": "HIGH"
},
"details": "LibreOffice supports the storage of passwords for web connections in the user\u2019s configuration database. The stored passwords are encrypted with a single master key provided by the user. A flaw in LibreOffice existed where master key was poorly encoded resulting in weakening its entropy from 128 to 43 bits making the stored passwords vulerable to a brute force attack if an attacker has access to the users stored config. This issue affects: The Document Foundation LibreOffice 7.2 versions prior to 7.2.7; 7.3 versions prior to 7.3.3.",
"id": "GHSA-7p78-g262-f9rp",
"modified": "2023-07-11T15:31:08Z",
"published": "2022-07-26T00:01:05Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-26307"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2023/03/msg00022.html"
},
{
"type": "WEB",
"url": "https://www.libreoffice.org/about-us/security/advisories/cve-2022-26307"
},
{
"type": "WEB",
"url": "http://www.openwall.com/lists/oss-security/2022/08/13/2"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
Mitigation
When storing data in the cloud (e.g., S3 buckets, Azure blobs, Google Cloud Storage, etc.), use the provider's controls to encrypt the data at rest. [REF-1297] [REF-1299] [REF-1301]
Mitigation
In some systems/environments such as cloud, the use of "double encryption" (at both the software and hardware layer) might be required, and the developer might be solely responsible for both layers, instead of shared responsibility with the administrator of the broader system/environment.
CAPEC-37: Retrieve Embedded Sensitive Data
An attacker examines a target system to find sensitive data that has been embedded within it. This information can reveal confidential contents, such as account numbers or individual keys/credentials that can be used as an intermediate step in a larger attack.