IGL-Technologies eParking.fi WebSocket Application Programming Interface excessive authentication
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.5 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in IGL-Technologies eParking.fi and classified as problematic. This issue affects some unknown processing of the component WebSocket Application Programming Interface. Performing a manipulation results in excessive authentication. This vulnerability is reported as CVE-2026-31903. The attack is possible to be carried out remotely. No exploit exists.
Details
A vulnerability was found in IGL-Technologies eParking.fi (the affected version unknown). It has been classified as problematic. This affects an unknown part of the component WebSocket Application Programming Interface. The manipulation with an unknown input leads to a excessive authentication vulnerability. CWE is classifying the issue as CWE-307. The product does not implement sufficient measures to prevent multiple failed authentication attempts within a short time frame, making it more susceptible to brute force attacks. This is going to have an impact on availability. The summary by CVE is:
The WebSocket Application Programming Interface lacks restrictions on the number of authentication requests. This absence of rate limiting may allow an attacker to conduct denial-of-service attacks by suppressing or mis-routing legitimate charger telemetry, or conduct brute-force attacks to gain unauthorized access.
The weakness was disclosed by Khaled Sarieddine and Mohammad Ali Sayed as icsa-26-078-08. The advisory is shared at cisa.gov. This vulnerability is uniquely identified as CVE-2026-31903 since 03/12/2026. The exploitability is told to be difficult. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Neither technical details nor an exploit are publicly available. MITRE ATT&CK project uses the attack technique T1110.001 for this issue.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Product
Vendor
Name
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 5.6VulDB Meta Temp Score: 5.5
VulDB Base Score: 3.7
VulDB Temp Score: 3.6
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 7.5
CNA Vector (icscert): 🔒
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Excessive authenticationCWE: CWE-307 / CWE-799 / CWE-400
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
03/12/2026 CVE reserved03/21/2026 Advisory disclosed
03/21/2026 VulDB entry created
03/27/2026 VulDB entry last update
Sources
Advisory: icsa-26-078-08Researcher: Khaled Sarieddine, Mohammad Ali Sayed
Status: Not defined
CVE: CVE-2026-31903 (🔒)
GCVE (CVE): GCVE-0-2026-31903
GCVE (VulDB): GCVE-100-352257
Entry
Created: 03/21/2026 07:53Updated: 03/27/2026 05:30
Changes: 03/21/2026 07:53 (75), 03/27/2026 05:30 (1)
Complete: 🔍
Cache ID: 216::103
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
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