CVE-2026-40885

April 22, 2026, 9:24 p.m.

7.7
High

Description

goshs is a SimpleHTTPServer written in Go. From 2.0.0-beta.4 to 2.0.0-beta.5, goshs leaks file-based ACL credentials through its public collaborator feed when the server is deployed without global basic auth. Requests to .goshs-protected folders are logged before authorization is enforced, and the collaborator websocket broadcasts raw request headers, including Authorization. An unauthenticated observer can capture a victim's folder-specific basic-auth header and replay it to read, upload, overwrite, and delete files inside the protected subtree. This vulnerability is fixed in 2.0.0-beta.6.

Product(s) Impacted

Vendor Product Versions
Goshs
  • Simplehttpserver
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-200
Exposure of Sensitive Information to an Unauthorized Actor
The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a goshs simplehttpserver / / / / / / / /

CVSS Score

7.7 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: PRESENT
  • Privileges Required: NONE
  • User Interaction: PASSIVE
  • Scope:
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

    View Vector String

Timeline

Published: April 21, 2026, 8:17 p.m.
Last Modified: April 22, 2026, 9:24 p.m.

Status : Awaiting Analysis

CVE has been recently published to the CVE List and has been received by the NVD.

More info

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.