CVE-2025-13955: CWE-330 Use of Insufficiently Random Values in EZCast EZCast Pro II
Predictable default Wi-Fi Password in Access Point functionality in EZCast Pro II before version 1.17478.177 allows attackers in Wi-Fi range to gain access to the dongle by calculating the default password from observable device identifiers
AI Analysis
Technical Summary
This vulnerability in EZCast Pro II devices arises from the use of a predictable default Wi-Fi password in the Access Point mode prior to version 1.17478.177. Attackers can calculate the default password by leveraging observable device identifiers, enabling unauthorized access to the dongle. The weakness is due to insufficient randomness in password generation, categorized as CWE-330. The CVSS 4.0 score is 9.3 (critical), reflecting high impact and ease of exploitation without user interaction or privileges. The vulnerability affects version 1.17478.146 and earlier. No patch or official remediation guidance is currently available.
Potential Impact
An attacker within Wi-Fi range can gain unauthorized access to the EZCast Pro II device by predicting the default Wi-Fi password. This compromises device confidentiality and integrity, potentially allowing control or misuse of the device. The vulnerability has a critical severity rating (CVSS 9.3), indicating a high risk of exploitation with significant impact on affected devices. There are no known exploits in the wild at this time.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is released, users should avoid using vulnerable versions of EZCast Pro II devices in untrusted environments or disable the Access Point functionality if possible. Monitor vendor channels for updates and apply patches promptly once available.
CVE-2025-13955: CWE-330 Use of Insufficiently Random Values in EZCast EZCast Pro II
Description
Predictable default Wi-Fi Password in Access Point functionality in EZCast Pro II before version 1.17478.177 allows attackers in Wi-Fi range to gain access to the dongle by calculating the default password from observable device identifiers
CVSS v4.0
Score 9.3critical
Affected software
Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
This vulnerability in EZCast Pro II devices arises from the use of a predictable default Wi-Fi password in the Access Point mode prior to version 1.17478.177. Attackers can calculate the default password by leveraging observable device identifiers, enabling unauthorized access to the dongle. The weakness is due to insufficient randomness in password generation, categorized as CWE-330. The CVSS 4.0 score is 9.3 (critical), reflecting high impact and ease of exploitation without user interaction or privileges. The vulnerability affects version 1.17478.146 and earlier. No patch or official remediation guidance is currently available.
Potential Impact
An attacker within Wi-Fi range can gain unauthorized access to the EZCast Pro II device by predicting the default Wi-Fi password. This compromises device confidentiality and integrity, potentially allowing control or misuse of the device. The vulnerability has a critical severity rating (CVSS 9.3), indicating a high risk of exploitation with significant impact on affected devices. There are no known exploits in the wild at this time.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is released, users should avoid using vulnerable versions of EZCast Pro II devices in untrusted environments or disable the Access Point functionality if possible. Monitor vendor channels for updates and apply patches promptly once available.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- NCSC.ch
- Date Reserved
- 2025-12-03T13:26:04.173Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 69393610fd479f45ea55244e
Added to database: 12/10/2025, 08:57:52 UTC
Last enriched: 05/28/2026, 20:02:44 UTC
Last updated: 07/29/2026, 20:51:59 UTC
Views: 305
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