Skip to main content
VulnerabilityPublished Updated

CVE-2026-31926: IGL-Technologies eParking.fi · CWE-522

Affects IGL-Technologies eParking.fiSource CVE Database V5

0
Compare

Not known to be exploited · CVSS 6.5 Medium.

Data as of 1 Nov 2026, 22:58 UTC

CVSS 3.1 base score
6.5Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.3% chance of exploitation in 30 days – higher than 23% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 20 Mar 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 1 Nov 2026.

What to do

Affected software

ProductAffectedFixed in
IGL-TechnologieseParking.fiAffected
  • =All versions
Fixed in–

AI-suggested

To mitigate this vulnerability, organizations should immediately review and restrict access to authentication identifiers exposed via web-based mapping platforms. Implementing strict access controls and authentication mechanisms on APIs and web services that expose sensitive data is critical. Network segmentation can isolate charging station management systems from public-facing services. Employing encryption for sensitive data in transit and at rest will reduce exposure risks. Monitoring and logging access to authentication identifiers can help detect unauthorized attempts. Since no patches are currently available, coordination with IGL-Technologies for updates or configuration guidance is essential. Additionally, organizations should consider deploying anomaly detection systems to identify suspicious activities related to charging station authentication. Regular security assessments and penetration testing focused on IoT and smart infrastructure components will help uncover similar exposures.

Description

Charging station authentication identifiers are publicly accessible via web-based mapping platforms.

References

Community reviews

Loading reviews…