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VulnerabilityPublished

CVE-2026-54377: Shenzhen Shine Industrial VitaFit · Insecure Direct Object Reference

Affects Shenzhen Shine Industrial VitaFitSource CVE Database V5

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Not known to be exploited · CVSS 6.9 Medium : upgrade to 2026-10-30 when convenient.

Data as of 5 Nov 2026, 00:16 UTC

CVSS 4.0 base score
6.9Medium
How severe the flaw is on the 0–10 CVSS scale.

Thin evidence

One scorer or none
CVSS scores by source
CNA (VulnCheck)CVSS 4.06.9
CNA (VulnCheck)CVSS 3.16.5
Patch
Available – fixed in 2026-10-30
CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 4 Nov 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 5 Nov 2026.

What to do

Upgrade Shenzhen Shine Industrial VitaFit to 2026-10-30.

Affected software

ProductAffectedFixed in
Shenzhen Shine Industrial Co., Ltd.VitaFitAffected
  • <2026-10-30
Fixed in
  • 2026-10-30

AI-suggested

A fix for this vulnerability was released on 2026-10-30. Users and administrators should upgrade VitaFit to versions released on or after 2026-10-30 to remediate the issue. No additional mitigation steps are indicated by the vendor advisory.

Description

VitaFit cloud API versions before 2026-10-30 have an insecure direct object reference vulnerability that allows authenticated attackers to access other users' data by manipulating user_id or profile_id parameters. This flaw enables attackers to read sensitive information such as email addresses, profiles, body-composition reports, and measurement histories by exploiting predictable identifiers and account enumeration weaknesses.

References

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