CVE-2019-25486
SQL Injection in Varient 1.6.1 Enables Authentication Bypass
Publication date: 2026-03-11
Last updated on: 2026-03-11
Assigner: VulnCheck
Description
Description
CVSS Scores
EPSS Scores
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Meta Information
Affected Vendors & Products
| Vendor | Product | Version / Range |
|---|---|---|
| varient | varient | to 1.6.1 (exc) |
Helpful Resources
Exploitability
| CWE ID | Description |
|---|---|
| CWE-89 | The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data. |
Attack-Flow Graph
AI Powered Q&A
Can you explain this vulnerability to me?
CVE-2019-25486 is an SQL injection vulnerability found in Varient version 1.6.1 and earlier. It allows unauthenticated attackers to manipulate database queries by injecting malicious SQL code through the user_id parameter in POST requests.
This vulnerability arises from improper neutralization of special elements in SQL commands, enabling attackers to bypass authentication mechanisms and extract sensitive information from the database.
How can this vulnerability impact me? :
This vulnerability can have serious impacts including unauthorized access to sensitive database information by bypassing authentication.
Attackers can exploit this flaw remotely without any privileges or user interaction, potentially leading to data breaches and exposure of confidential information.
How does this vulnerability affect compliance with common standards and regulations (like GDPR, HIPAA)?:
I don't know
How can this vulnerability be detected on my network or system? Can you suggest some commands?
[{'type': 'paragraph', 'content': 'This vulnerability can be detected by monitoring for unusual or crafted POST requests targeting the user_id parameter in Varient 1.6.1 web applications. Specifically, requests containing SQL injection payloads designed to manipulate database queries should be identified.'}, {'type': 'paragraph', 'content': 'A practical detection method involves capturing and analyzing HTTP POST requests to the vulnerable endpoint and inspecting the user_id parameter for suspicious SQL code patterns such as SQL comments (/**/), logical operators (OR, AND), or unusual characters like single quotes (%27).'}, {'type': 'paragraph', 'content': 'Example commands to detect such activity include using network traffic analysis tools like tcpdump or Wireshark to filter HTTP POST requests, or using command-line tools like curl to manually test the endpoint with crafted payloads.'}, {'type': 'list_item', 'content': "Using tcpdump to capture HTTP POST requests to the server: tcpdump -A -s 0 'tcp port 80 and (((ip[2:2] - ((ip[0]&0xf)<<2)) - ((tcp[12]&0xf0)>>2)) != 0)' | grep 'POST'"}, {'type': 'list_item', 'content': 'Using curl to test the vulnerability by sending a crafted POST request with an SQL injection payload in the user_id parameter: curl -X POST -d "user_id=%27)/**/oR/**/3211170=3211170/**/aNd/**/(%276199%27)=(%276199" https://targetsite.com/path'}] [2, 3]
What immediate steps should I take to mitigate this vulnerability?
Immediate mitigation steps include applying input validation and sanitization on the user_id parameter to prevent SQL injection attacks.
If possible, update Varient to a version that patches this vulnerability or apply any available security patches from the vendor.
As a temporary measure, implement web application firewall (WAF) rules to block requests containing suspicious SQL injection patterns targeting the user_id parameter.
Additionally, monitor logs for suspicious activity and restrict access to the vulnerable endpoints where feasible.