CVE-2026-1496
Authentication Bypass in Coverity Connect Command Line Tool
Publication date: 2026-03-27
Last updated on: 2026-03-27
Assigner: Synopsys
Description
Description
CVSS Scores
EPSS Scores
| Probability: | |
| Percentile: |
Meta Information
Affected Vendors & Products
| Vendor | Product | Version / Range |
|---|---|---|
| synopsys | coverity_connect | * |
| synopsys | coverity_usage_log_analyzer | * |
Helpful Resources
Exploitability
| CWE ID | Description |
|---|---|
| CWE-639 | The system's authorization functionality does not prevent one user from gaining access to another user's data or record by modifying the key value identifying the data. |
Attack-Flow Graph
AI Powered Q&A
Can you explain this vulnerability to me?
This vulnerability affects certain versions of Coverity Connect where the authentication logic for command line tooling lacks an error handler. This flaw allows a malicious actor who has access to the /token API endpoint and knows or guesses a valid username to craft a special HTTP request that bypasses authentication.
By successfully exploiting this vulnerability, the attacker can assume all roles and privileges of the valid user's Coverity Connect account without proper authentication.
How can this vulnerability impact me? :
The impact of this vulnerability is severe because it allows an attacker to bypass authentication and gain unauthorized access to a Coverity Connect account.
Once authenticated bypass is achieved, the attacker can assume all roles and privileges of the compromised user, potentially leading to unauthorized access to sensitive data, modification of project information, or disruption of services.
This can result in significant security breaches, data leaks, and loss of trust in the affected system.
How can this vulnerability be detected on my network or system? Can you suggest some commands?
This vulnerability can be detected by analyzing Coverity usage log files to identify suspicious access patterns to the /token API endpoint without a preceding login event.
A Python script named Coverity Usage Log Analyzer is available for this purpose. It scans directories containing Coverity usage logs, detects WebAccessEvent entries with the URL "/token" that are not immediately preceded by a LogInEvent entry, and flags these as suspicious token access events.
The script requires Python 3.6 or higher and can be run interactively or via command line by passing the log directory path as an argument.
Logs are typically obtained from the Coverity system diagnostics interface by downloading usageLog.log files covering about 30 days.
The detection logic involves parsing JSON log entries line-by-line, tracking event sequences, and identifying token API accesses without prior login.
While no specific command lines are provided in the text, running the Coverity Usage Log Analyzer script on the directory containing the usage logs is the recommended detection method.
What immediate steps should I take to mitigate this vulnerability?
To mitigate the authentication bypass vulnerability in Coverity Connect, immediate steps include monitoring and analyzing access to the /token API endpoint for suspicious activity.
Using tools such as the Coverity Usage Log Analyzer (a Python script) can help detect unauthorized token access attempts by identifying token API requests without preceding login events.
Further mitigation may involve blocking or restricting access to the /token endpoint, although specific instructions for blocking this endpoint are not detailed in the provided resources.
It is also advisable to review user access and privileges, and investigate any suspicious token access events to prevent exploitation.
How does this vulnerability affect compliance with common standards and regulations (like GDPR, HIPAA)?:
The vulnerability allows a malicious actor to bypass authentication and assume all roles and privileges of a valid user in Coverity Connect. This unauthorized access could lead to exposure or misuse of sensitive data.
Such unauthorized access and potential data exposure may impact compliance with standards and regulations like GDPR and HIPAA, which require strict access controls and protection of personal and sensitive information.
However, the provided information does not explicitly describe the direct effects on compliance or specific regulatory impacts.