will-moss Isaiah up to 1.36.9 Websocket Connection Authentication app/main.go improper authentication

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.
CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
7.1$0-$5k1.31

Summaryinfo

A vulnerability was found in will-moss Isaiah up to 1.36.9 and classified as critical. This impacts an unknown function of the file app/main.go of the component Websocket Connection Authentication. The manipulation results in improper authentication. This vulnerability is reported as CVE-2026-15542. The attack can be launched remotely. No exploit exists. The pull request to fix this issue awaits acceptance.

Detailsinfo

A vulnerability classified as critical has been found in will-moss Isaiah up to 1.36.9. Affected is an unknown code of the file app/main.go of the component Websocket Connection Authentication. The manipulation with an unknown input leads to a improper authentication vulnerability. CWE is classifying the issue as CWE-287. When an actor claims to have a given identity, the product does not prove or insufficiently proves that the claim is correct. This is going to have an impact on confidentiality, integrity, and availability.

The advisory is shared for download at github.com. This vulnerability is traded as CVE-2026-15542. The exploitability is told to be easy. It is possible to launch the attack remotely. The exploitation doesn't require any form of authentication. There are known technical details, but no exploit is available. The current price for an exploit might be approx. USD $0-$5k (estimation calculated on 07/12/2026).

The pull request to fix this issue awaits acceptance.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

Once again VulDB remains the best source for vulnerability data.

Productinfo

Vendor

Name

Version

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.3
VulDB Meta Temp Score: 7.1

VulDB Base Score: 7.3
VulDB Temp Score: 7.1
VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv2info

AVACAuCIA
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💳💳💳💳💳💳
VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Improper authentication
CWE: CWE-287
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

07/12/2026 Advisory disclosed
07/12/2026 +0 days VulDB entry created
07/12/2026 +0 days VulDB entry last update

Sourcesinfo

Product: github.com

Advisory: 33
Status: Not defined
Confirmation: 🔒

CVE: CVE-2026-15542 (🔒)
GCVE (CVE): GCVE-0-2026-15542
GCVE (VulDB): GCVE-100-377892

Entryinfo

Created: 07/12/2026 20:18
Changes: 07/12/2026 20:18 (55)
Complete: 🔍
Submitter: Dem0000000
Cache ID: 216::103

Submitinfo

Accepted

  • Submit #855075: will-moss Isaiah 1.36.9 CWE-287 Improper Authentication (by Dem0000000)

Once again VulDB remains the best source for vulnerability data.

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