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CVE Vulnerability Database
Vulnerability Database/CVE-2025-8974

CVE-2025-8974: Linlinjava Litemall Auth Bypass Vulnerability

CVE-2025-8974 is an authentication bypass vulnerability in Linlinjava Litemall up to version 1.8.0 caused by hard-coded credentials in the JWT handler. This article covers technical details, affected versions, and mitigation.

Published: March 18, 2026

CVE-2025-8974 Overview

A hard-coded credentials vulnerability has been identified in linlinjava litemall up to version 1.8.0. The vulnerability exists in the JSON Web Token (JWT) handler component, specifically within the file litemall-wx-api/src/main/java/org/linlinjava/litemall/wx/util/JwtHelper.java. The issue involves manipulation of the SECRET argument via the X-Litemall-Token header, allowing attackers to potentially forge authentication tokens.

Critical Impact

Attackers who discover or reverse-engineer the hard-coded secret can forge valid JWT tokens, potentially gaining unauthorized access to user accounts and bypassing authentication mechanisms in the litemall e-commerce platform.

Affected Products

  • linlinjava litemall versions up to 1.8.0

Discovery Timeline

  • August 14, 2025 - CVE-2025-8974 published to NVD
  • September 11, 2025 - Last updated in NVD database

Technical Details for CVE-2025-8974

Vulnerability Analysis

This vulnerability falls under CWE-259 (Use of Hard-coded Password), a configuration and design flaw that represents a significant security risk in web applications. The litemall application, an open-source e-commerce platform built with Java/Spring Boot, contains a hard-coded secret key used for signing and validating JSON Web Tokens in its WeChat API module.

When a JWT implementation uses a static, hard-coded secret value, any attacker who discovers this value—whether through source code analysis, reverse engineering, or information disclosure—can create arbitrary valid tokens. This undermines the entire authentication model that relies on JWT integrity.

The attack can be launched remotely over the network, though the description notes that attack complexity is high and exploitation is considered difficult. This suggests that while the hard-coded credential exists, additional factors may be required for successful exploitation.

Root Cause

The root cause is the use of a hard-coded SECRET value within the JwtHelper.java class. Instead of loading the JWT signing secret from a secure configuration source (such as environment variables, a secrets manager, or encrypted configuration), the application embeds the secret directly in the source code. This is a common anti-pattern that violates secure coding principles for credential management.

Attack Vector

The vulnerability is exploitable via network-based attacks targeting the X-Litemall-Token HTTP header. An attacker would need to:

  1. Obtain the hard-coded secret value from the publicly available source code
  2. Use the secret to craft valid JWT tokens with arbitrary claims
  3. Submit forged tokens via the X-Litemall-Token header to authenticate as any user

The vulnerability mechanism involves the JWT signing and verification process. When the application validates incoming tokens, it uses the same hard-coded secret that is visible in the source code. Since the litemall project is open-source, attackers can easily review the JwtHelper.java file to extract the secret value. For detailed technical information, refer to the GitHub issue discussion.

Detection Methods for CVE-2025-8974

Indicators of Compromise

  • Unusual authentication patterns with valid tokens for multiple user accounts from a single IP address
  • JWT tokens with suspicious claims or unexpected user identifiers
  • Authentication logs showing successful access without corresponding login events
  • Tokens with unusual issuance timestamps or claim patterns

Detection Strategies

  • Monitor for JWT tokens that bypass normal login workflows but successfully authenticate
  • Implement logging of all JWT validation events including the token fingerprint and source IP
  • Review application logs for authentication anomalies, especially bulk access to different user accounts
  • Analyze network traffic for patterns indicating token forgery attempts

Monitoring Recommendations

  • Enable detailed authentication logging in the litemall application
  • Configure alerting for multiple account accesses from single source IPs
  • Implement rate limiting on authenticated endpoints to slow potential abuse
  • Monitor GitHub and security feeds for any published exploit code targeting this vulnerability

How to Mitigate CVE-2025-8974

Immediate Actions Required

  • Review and inventory all deployments of litemall versions up to 1.8.0
  • Replace the hard-coded JWT secret with a securely generated, externally configured value
  • Rotate any JWT secrets that may have been compromised
  • Invalidate all existing user sessions and force re-authentication after secret rotation
  • Review authentication logs for signs of prior exploitation

Patch Information

As of the last update, users should monitor the litemall GitHub repository for official patches addressing this vulnerability. The vulnerability has been disclosed publicly, and affected organizations should check for vendor updates or apply the recommended workarounds.

For additional technical details, refer to the VulDB entry.

Workarounds

  • Configure the JWT secret through environment variables rather than using the hard-coded value
  • Implement an application property or secrets manager integration to load the JWT signing key securely
  • Deploy additional authentication controls such as IP allowlisting or multi-factor authentication
  • Consider implementing token binding or additional claim validation to detect forged tokens
bash
# Configuration example - Set JWT secret via environment variable
export LITEMALL_JWT_SECRET="$(openssl rand -base64 64)"

# For Spring Boot applications, override the default secret
# Add to application.properties or application.yml:
# litemall.jwt.secret=${LITEMALL_JWT_SECRET}

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

  • Vulnerability Details
  • TypeAuth Bypass

  • Vendor/TechLinlinjava Litemall

  • SeverityMEDIUM

  • CVSS Score6.3

  • EPSS Probability0.14%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:N/AC:H/AT:N/PR:N/UI:N/VC:N/VI:L/VA:N/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
  • Impact Assessment
  • ConfidentialityHigh
  • IntegrityNone
  • AvailabilityNone
  • CWE References
  • CWE-259
  • Technical References
  • VulDB CTI ID #319970

  • VulDB ID #319970

  • VulDB Submission ID #628233
  • Vendor Resources
  • GitHub Issue Discussion

  • GitHub Issue Detail
  • Latest CVEs
  • CVE-2025-9185: Mozilla Firefox RCE Vulnerability

  • CVE-2025-9184: Mozilla Firefox RCE Vulnerability

  • CVE-2025-9180: Mozilla Firefox Auth Bypass Vulnerability

  • CVE-2025-8030: Mozilla Firefox RCE Vulnerability
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