CVE-2025-62327: CWE-522 Insufficiently Protected Credentials in HCLSoftware DevOps Deploy
CVE-2025-62327 is a medium severity vulnerability in HCL DevOps Deploy versions 8. 1 through 8. 1. 2. 3, where users with LLM configuration privileges can recover previously saved credentials used for authenticated LLM queries. The vulnerability stems from insufficient protection of stored credentials (CWE-522). Exploitation requires privileged access but no user interaction and can lead to credential disclosure, impacting confidentiality. There are no known exploits in the wild yet. The CVSS score is 4. 9, reflecting a moderate risk primarily due to the need for elevated privileges.
AI Analysis
Technical Summary
CVE-2025-62327 identifies a vulnerability in HCL DevOps Deploy versions 8.1 through 8.1.2.3, where credentials saved for authenticated Large Language Model (LLM) queries are insufficiently protected. Specifically, a user possessing LLM configuration privileges can retrieve these stored credentials, which should otherwise be securely protected. This vulnerability is classified under CWE-522, indicating that sensitive information is stored or transmitted without adequate protection, leading to potential unauthorized disclosure. The attack vector is network-based (AV:N), requiring high privileges (PR:H) but no user interaction (UI:N). The vulnerability impacts confidentiality (C:H) but not integrity or availability. The lack of known exploits in the wild suggests it is not yet actively exploited, but the risk remains due to the sensitive nature of credentials. The vulnerability affects a niche but critical component of HCL’s DevOps Deploy product, which is used for automating software deployment pipelines. The ability to recover credentials could allow an attacker with LLM configuration access to escalate privileges or move laterally within an environment by leveraging these credentials for further authenticated queries or actions. The vulnerability was reserved in October 2025 and published in January 2026, with no patches currently listed, indicating organizations must rely on compensating controls until fixes are released.
Potential Impact
For European organizations, the primary impact of this vulnerability is the potential compromise of sensitive credentials used in automated DevOps workflows involving LLM queries. Exposure of these credentials could lead to unauthorized access to internal systems or services, undermining confidentiality and potentially enabling further attacks such as privilege escalation or lateral movement. Organizations relying heavily on HCL DevOps Deploy for critical software deployment and automation may face operational risks if attackers exploit this vulnerability. The impact is heightened in sectors where DevOps pipelines integrate with sensitive data or critical infrastructure, such as finance, telecommunications, and government. Since exploitation requires elevated privileges, the threat is mainly from insider threats or attackers who have already gained partial access. However, once credentials are exposed, attackers can bypass authentication mechanisms for LLM queries, potentially extracting sensitive information or manipulating deployment processes. This could result in data breaches, compliance violations under GDPR, and damage to organizational reputation.
Mitigation Recommendations
Until official patches are released, European organizations should implement strict access controls to limit LLM configuration privileges only to trusted administrators. Conduct thorough audits of users with such privileges and monitor their activities for unusual behavior. Encrypt stored credentials using strong cryptographic methods and ensure that credential storage mechanisms follow best practices for secret management. Employ multi-factor authentication (MFA) for accessing DevOps Deploy interfaces to reduce risk from compromised accounts. Regularly review and rotate credentials used in LLM queries to minimize exposure duration. Implement network segmentation to isolate DevOps environments and restrict access to credential stores. Maintain comprehensive logging and alerting to detect any unauthorized attempts to access or retrieve credentials. Engage with HCLSoftware support to obtain patches or updates as soon as they become available and test them in controlled environments before deployment.
Affected Countries
Germany, United Kingdom, France, Netherlands, Sweden, Italy
CVE-2025-62327: CWE-522 Insufficiently Protected Credentials in HCLSoftware DevOps Deploy
Description
CVE-2025-62327 is a medium severity vulnerability in HCL DevOps Deploy versions 8. 1 through 8. 1. 2. 3, where users with LLM configuration privileges can recover previously saved credentials used for authenticated LLM queries. The vulnerability stems from insufficient protection of stored credentials (CWE-522). Exploitation requires privileged access but no user interaction and can lead to credential disclosure, impacting confidentiality. There are no known exploits in the wild yet. The CVSS score is 4. 9, reflecting a moderate risk primarily due to the need for elevated privileges.
AI-Powered Analysis
Technical Analysis
CVE-2025-62327 identifies a vulnerability in HCL DevOps Deploy versions 8.1 through 8.1.2.3, where credentials saved for authenticated Large Language Model (LLM) queries are insufficiently protected. Specifically, a user possessing LLM configuration privileges can retrieve these stored credentials, which should otherwise be securely protected. This vulnerability is classified under CWE-522, indicating that sensitive information is stored or transmitted without adequate protection, leading to potential unauthorized disclosure. The attack vector is network-based (AV:N), requiring high privileges (PR:H) but no user interaction (UI:N). The vulnerability impacts confidentiality (C:H) but not integrity or availability. The lack of known exploits in the wild suggests it is not yet actively exploited, but the risk remains due to the sensitive nature of credentials. The vulnerability affects a niche but critical component of HCL’s DevOps Deploy product, which is used for automating software deployment pipelines. The ability to recover credentials could allow an attacker with LLM configuration access to escalate privileges or move laterally within an environment by leveraging these credentials for further authenticated queries or actions. The vulnerability was reserved in October 2025 and published in January 2026, with no patches currently listed, indicating organizations must rely on compensating controls until fixes are released.
Potential Impact
For European organizations, the primary impact of this vulnerability is the potential compromise of sensitive credentials used in automated DevOps workflows involving LLM queries. Exposure of these credentials could lead to unauthorized access to internal systems or services, undermining confidentiality and potentially enabling further attacks such as privilege escalation or lateral movement. Organizations relying heavily on HCL DevOps Deploy for critical software deployment and automation may face operational risks if attackers exploit this vulnerability. The impact is heightened in sectors where DevOps pipelines integrate with sensitive data or critical infrastructure, such as finance, telecommunications, and government. Since exploitation requires elevated privileges, the threat is mainly from insider threats or attackers who have already gained partial access. However, once credentials are exposed, attackers can bypass authentication mechanisms for LLM queries, potentially extracting sensitive information or manipulating deployment processes. This could result in data breaches, compliance violations under GDPR, and damage to organizational reputation.
Mitigation Recommendations
Until official patches are released, European organizations should implement strict access controls to limit LLM configuration privileges only to trusted administrators. Conduct thorough audits of users with such privileges and monitor their activities for unusual behavior. Encrypt stored credentials using strong cryptographic methods and ensure that credential storage mechanisms follow best practices for secret management. Employ multi-factor authentication (MFA) for accessing DevOps Deploy interfaces to reduce risk from compromised accounts. Regularly review and rotate credentials used in LLM queries to minimize exposure duration. Implement network segmentation to isolate DevOps environments and restrict access to credential stores. Maintain comprehensive logging and alerting to detect any unauthorized attempts to access or retrieve credentials. Engage with HCLSoftware support to obtain patches or updates as soon as they become available and test them in controlled environments before deployment.
Affected Countries
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- HCL
- Date Reserved
- 2025-10-10T09:04:19.899Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 695e7b617349d0379da9360d
Added to database: 1/7/2026, 3:27:29 PM
Last enriched: 1/14/2026, 3:52:04 PM
Last updated: 2/7/2026, 2:58:53 AM
Views: 58
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Related Threats
CVE-2026-2071: Buffer Overflow in UTT 进取 520W
HighCVE-2026-25762: CWE-400: Uncontrolled Resource Consumption in adonisjs core
HighCVE-2026-25754: CWE-1321: Improperly Controlled Modification of Object Prototype Attributes ('Prototype Pollution') in adonisjs core
HighCVE-2026-25644: CWE-295: Improper Certificate Validation in datahub-project datahub
HighCVE-2026-25804: CWE-287: Improper Authentication in antrea-io antrea
HighActions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
External Links
Need more coverage?
Upgrade to Pro Console in Console -> Billing for AI refresh and higher limits.
For incident response and remediation, OffSeq services can help resolve threats faster.