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CVE-2025-9108VulnerabilityPublished

CVE-2025-9108: Portabilis i-Diario · Improper Restriction of Rendered UI Layers

Affects Portabilis i-DiarioSource CVE Database V5

0

Not known to be exploited · CVSS 5.3 Medium.

Data as of 26 Oct 2026, 06:26 UTC

CVSS 4.0 base score
5.3Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.3% chance of exploitation in 30 days – higher than 25% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:N/VI:L/VA:N/SC:N/SI:N/SA:N/E:P

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 18 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

Affected software

ProductAffectedFixed in
Portabilis i-DiarioAffected
  • =1.0
  • =1.1
  • =1.2
  • =1.3
  • =1.4
  • =1.5.0
Fixed in–

AI-suggested

Organizations should prioritize updating to a patched version once available from Portabilis. In the absence of patches, implementing Content Security Policy (CSP) headers to restrict framing and embedding of the login page can mitigate UI redressing attacks. Additionally, enabling X-Frame-Options headers (e.g., DENY or SAMEORIGIN) will prevent clickjacking attempts. User education to recognize suspicious UI behavior and multi-factor authentication (MFA) can reduce the risk of session hijacking. Network-level protections such as Web Application Firewalls (WAFs) can be configured to detect and block suspicious UI manipulation attempts. Regular security assessments and penetration testing focusing on UI vulnerabilities should be conducted. Monitoring login page traffic for anomalies and unusual user interactions can help detect exploitation attempts early.

Description

Affected is an unknown function of the component Login Page. The manipulation leads to improper restriction of rendered ui layers. It is possible to launch the attack remotely.

References

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