Skip to main content
CVE-2025-51671VulnerabilityPublished

CVE-2025-51671: Dairy-Farm-Shop-Management-System · n/a

Affects Dairy-Farm-Shop-Management-SystemSource CVE Database V5

0

Not known to be exploited · CVSS 5.4 Medium.

Data as of 26 Oct 2026, 06:26 UTC

CVSS 3.1 base score
5.4Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.3% chance of exploitation in 30 days – higher than 22% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 26 Jun 2025

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 2026-10-26.

What to do

Affected software

ProductAffectedFixed in
GitHubrtnthakur/Dairy-Farm-Shop-Management-Systempkg:github/rtnthakur/Dairy-Farm-Shop-Management-SystemOther threatsAffected
  • =1.3
Fixed in–

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

Immediate mitigation should focus on input validation and sanitization for the 'category' and 'categorycode' parameters in the manage-categories.php file. Employing prepared statements with parameterized queries is essential to prevent SQL injection. Organizations should audit their PHPGurukul Dairy Farm Shop Management System installations to identify affected versions and isolate vulnerable endpoints. If possible, restrict access to the management interface via network segmentation or VPNs to limit exposure. Monitoring web server logs for suspicious POST requests targeting the vulnerable parameters can help detect exploitation attempts. Until an official patch is released, consider implementing Web Application Firewall (WAF) rules to block malicious SQL injection payloads targeting these parameters. Regular backups of the database should be maintained to enable recovery in case of data tampering. Finally, organizations should engage with the software vendor or community to track patch availability and apply updates promptly once released.

Description

A SQL injection vulnerability was discovered in the PHPGurukul Dairy Farm Shop Management System 1.3. The vulnerability allows remote attackers to execute arbitrary SQL code via the category and categorycode parameters in a POST request to the manage-categories.php file.

References

Community reviews

Loading reviews…