CVE-2026-11859

June 10, 2026, 8:13 p.m.

2.0
Low

Description

An HTML injection vulnerability in the "fetch links" email sent by Thinkst Applied Research Canarytokens, enabling Interface Manipulation, Cross-Site Scripting (XSS) in emails clients that render HTML emails. This issue affects Canarytokens: from Docker tag sha-c0f3cf142 before sha-08c3f93d, from Git commit c0f3cf142 before 08c3f93d.

Product(s) Impacted

Vendor Product Versions
Thinkst
  • Canarytokens
  • *, sha-c0f3cf142-*

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-74
Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection')
The product constructs all or part of a command, data structure, or record using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify how it is parsed or interpreted when it is sent to a downstream component.

*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 thinkst canarytokens / / / / / / / /
a thinkst canarytokens sha-c0f3cf142-* / / / / / /

CVSS Score

2.0 / 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: PROOF_OF_CONCEPT
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:A/VC:N/VI:N/VA:N/SC:N/SI:L/SA:N/E:P/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:N/R:X/V:X/RE:L/U:Green

    View Vector String

Timeline

Published: June 10, 2026, 12:16 p.m.
Last Modified: June 10, 2026, 8:13 p.m.

Status : Awaiting Analysis

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

More info

Source

0f2be0ad-3469-4e56-b38f-4eb96719b425

*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.