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CVE Vulnerability Database
Vulnerability Database/CVE-2025-55263

CVE-2025-55263: HCLTech Aftermarket Cloud Disclosure Flaw

CVE-2025-55263 is an information disclosure vulnerability in HCLTech Aftermarket Cloud caused by hardcoded sensitive data. Attackers can extract secrets from source code or insecure repositories. This article covers technical details, affected versions, impact, and mitigation strategies.

Published: March 27, 2026

CVE-2025-55263 Overview

HCL Aftermarket DPC is affected by a hardcoded sensitive data vulnerability that allows attackers to gain access to confidential credentials if they can access the source code or if it is stored in insecure repositories. This type of vulnerability (CWE-798) occurs when developers embed secrets, API keys, passwords, or other sensitive authentication data directly into the application's source code rather than using secure credential management practices.

Critical Impact

Attackers who gain access to source code repositories can retrieve hardcoded secrets, potentially leading to unauthorized access to backend systems, databases, or third-party services integrated with HCL Aftermarket Cloud.

Affected Products

  • HCL Aftermarket Cloud version 1.0.0
  • hcltech:aftermarket_cloud (CPE: cpe:2.3:a:hcltech:aftermarket_cloud:1.0.0:*:*:*:*:*:*:*)

Discovery Timeline

  • 2026-03-26 - CVE-2025-55263 published to NVD
  • 2026-03-26 - Last updated in NVD database

Technical Details for CVE-2025-55263

Vulnerability Analysis

This vulnerability stems from the insecure practice of embedding sensitive data directly within application source code. When credentials, API keys, encryption keys, or other secrets are hardcoded, they become static and difficult to rotate without code changes. The network-based attack vector means that if an attacker can access the repository where this code is stored—whether through a supply chain compromise, insider threat, misconfigured repository permissions, or other means—they can extract these secrets without any user interaction required.

The confidentiality impact is significant, as extracted credentials could provide unauthorized access to connected systems, databases, or services. However, the vulnerability itself does not directly enable integrity modifications or availability disruptions to the affected system.

Root Cause

The root cause of CVE-2025-55263 is CWE-798: Use of Hard-coded Credentials. This occurs when sensitive authentication data is embedded directly in source code rather than being retrieved from secure external sources such as environment variables, secrets management systems, or secure vaults at runtime. This practice creates a persistent security risk because:

  • Credentials cannot be rotated without code changes and redeployment
  • Anyone with access to the codebase gains access to the secrets
  • Credentials may persist in version control history even after removal
  • Static analysis tools and attackers can easily identify hardcoded strings

Attack Vector

The attack vector is network-based, requiring no privileges or user interaction to exploit. An attacker would need to gain access to the source code through one of several methods:

  • Compromising source code repositories (public or private)
  • Exploiting misconfigured repository access controls
  • Obtaining access through insider threats
  • Leveraging supply chain vulnerabilities
  • Accessing backup systems containing source code

Once source code access is obtained, the attacker can search for hardcoded credentials using pattern matching, regular expressions, or dedicated secret scanning tools. The extracted credentials can then be used to authenticate to connected services.

Detection Methods for CVE-2025-55263

Indicators of Compromise

  • Unauthorized access attempts to backend systems using valid credentials from unexpected IP addresses or geolocations
  • Authentication logs showing successful logins from unknown sources using service accounts or API keys
  • Unusual API activity patterns that may indicate automated exploitation of extracted credentials
  • Access to sensitive resources by accounts that should only be used programmatically

Detection Strategies

  • Implement secret scanning in CI/CD pipelines to detect hardcoded credentials before code is committed
  • Deploy runtime application self-protection (RASP) to monitor for unauthorized credential usage
  • Enable comprehensive audit logging for all authentication events across integrated services
  • Use SentinelOne Singularity to monitor for suspicious process behaviors and unauthorized access patterns

Monitoring Recommendations

  • Monitor repository access logs for unusual download patterns or unauthorized access attempts
  • Implement alerting on authentication events using credentials associated with the affected application
  • Review cloud provider audit trails for API calls made with potentially compromised credentials
  • Establish baseline behavior for service accounts and alert on deviations

How to Mitigate CVE-2025-55263

Immediate Actions Required

  • Review HCL's security advisory for specific remediation guidance: HCL Software Knowledge Base Article
  • Identify all hardcoded credentials in the affected HCL Aftermarket Cloud deployment
  • Rotate any potentially exposed credentials immediately, even if no breach is suspected
  • Audit repository access logs to determine if source code was accessed by unauthorized parties
  • Implement monitoring for usage of credentials that may have been exposed

Patch Information

HCL Software has published guidance for addressing this vulnerability. Organizations should consult the HCL Software Knowledge Base Article for the latest patch information and remediation steps specific to their deployment.

Workarounds

  • Migrate hardcoded credentials to secure secrets management solutions such as HashiCorp Vault, AWS Secrets Manager, or Azure Key Vault
  • Implement environment variables for credential injection at runtime rather than compile-time
  • Enable secrets scanning in your CI/CD pipeline using tools like git-secrets, truffleHog, or GitHub secret scanning
  • Review and restrict repository access to minimize the exposure of source code containing sensitive data
  • Implement credential rotation policies to limit the window of exposure for any compromised secrets

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

  • Vulnerability Details
  • TypeInformation Disclosure

  • Vendor/TechHcltech Aftermarket Cloud

  • SeverityHIGH

  • CVSS Score7.5

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityNone
  • CWE References
  • CWE-798
  • Vendor Resources
  • HCL Software Knowledge Base Article
  • Related CVEs
  • CVE-2025-55274: HCLTech Aftermarket Cloud CORS Vulnerability

  • CVE-2025-55265: HCL Aftermarket Cloud File Disclosure Flaw

  • CVE-2025-55276: HCLTech Aftermarket Cloud Disclosure Flaw

  • CVE-2025-55272: HCLTech Aftermarket Cloud Disclosure Flaw
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