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VulnerabilityPublished Updated

CVE-2026-102365: gz-yami mall4j · Missing Authorization

Affects gz-yami mall4jSource CVE Database V5

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Not known to be exploited · CVSS 7.1 High.

Data as of 12 Nov 2026, 23:24 UTC

CVSS 4.0 base score
7.1High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.2% chance of exploitation in 30 days – higher than 15% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 28 Sep 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: 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 13 Nov 2026.

What to do

Affected software

ProductAffectedFixed in
gz-yamimall4jAffected
  • <=4.0
Fixed in–
GitHubmall4jpkg:github/mall4jOther threatsAffected
  • <=4.0
Fixed in–

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

AI-suggested

Until an official fix is available, restrict access to the affected endpoints to trusted users only and monitor for suspicious access patterns. Implement additional authorization checks on the affected endpoints to prevent unauthorized data access.

Description

CVE-2026-102365 is a high-severity vulnerability in gz-yami mall4j up to version 4.0 where authorization checks are missing on certain GET endpoints in the UserAddrController. Authenticated attackers can access endpoints that expose customer address data, including names, phone numbers, and postal information. This allows unauthorized data harvesting of sensitive customer information.

References

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