CVE-2026-43644

May 14, 2026, 6:15 p.m.

5.1
Medium

Description

podinfo through 6.11.2 contains a reflected cross-site scripting vulnerability in the /echo and /api/echo endpoints where the echoHandler writes request body content directly to the response without setting explicit Content-Type or X-Content-Type-Options headers. Attackers can craft cross-origin HTML pages with auto-submitting forms containing script payloads in the request body, which are served as text/html due to Go's content type detection, allowing the reflected script to execute in the podinfo origin context when victims visit the attacker's page.

Product(s) Impacted

Vendor Product Versions
Podinfo
  • Podinfo
  • 6.11.2

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-79
Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users.

*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 podinfo podinfo 6.11.2 / / / / / / /

CVSS Score

5.1 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: NONE
  • User Interaction: ACTIVE
  • Scope:
  • Confidentiality Impact: NONE
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:A/VC:N/VI:N/VA:N/SC:L/SI:L/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: May 14, 2026, 1:16 p.m.
Last Modified: May 14, 2026, 6:15 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.