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CVE-2025-51540VulnerabilityPublished

CVE-2025-51540: n/a

Source CVE Database V5

0

Not known to be exploited · CVSS 5.3 Medium · fixed in 3.5.72.27183 : update affected systems when convenient.

Data as of 26 Oct 2026, 06:26 UTC

CVSS 3.1 base score
5.3Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.2% chance of exploitation in 30 days – higher than 14% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 3.5.72.27183
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 19 Aug 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

AI-suggested

European organizations should immediately upgrade EzGED3 installations to version 3.5.72.27183 or later, where the vendor has addressed the insecure password hashing. Until the upgrade is applied, organizations should enforce strong password policies to reduce the risk of password cracking. Additionally, implementing multi-factor authentication (MFA) can mitigate the impact of compromised passwords. Organizations should audit their user databases for password hash exposure and monitor for suspicious login activities. If hashes are suspected to be leaked, a forced password reset should be conducted. From a development perspective, organizations should advocate for or verify the use of modern, slow, and salted password hashing algorithms such as Argon2, bcrypt, or PBKDF2 in future software versions. Network segmentation and strict access controls around user credential storage systems can further reduce the risk of hash theft.

Description

EzGED3 3.5.0 stores user passwords using an insecure hashing scheme: md5(md5(password)). This hashing method is cryptographically weak and allows attackers to perform efficient offline brute-force attacks if password hashes are disclosed. The lack of salting and use of a fast, outdated algorithm makes it feasible to recover plaintext credentials using precomputed tables or GPU-based cracking tools. The vendor states that the issue is fixed in 3.5.72.27183.

References

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