CVE-2026-10729
Raw vector
CVSS:4.0/AV:N/AC:H/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:GreenSummary
CVE-2026-10729 is a low-severity Injection (CWE-74) vulnerability. Its CVSS base score is 1.2 (Low).
Operationally, exploitation aligns with the MITRE ATT&CK technique Content Injection (T1659); ranked at the 11th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to SI-10 (Information Input Validation) and SI-15 (Information Output Filtering) — see the control section below for these in your framework.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-34085
Vulnerability Data
An HTML injection vulnerability in the notification email for "Slow Redirect" and "Cloned Website" Canarytokens exists in Thinkst Applied Research Canarytokens, enabling Interface Manipulation, Cross-Site Scripting (XSS) in emails clients that render HTML emails. This issue affects Canarytokens: from Docker…
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tag sha-c42435e before sha-bfda4df, from Git commit c42435e before bfda4df.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
HTML injection vuln directly enables email content injection (T1659) leading to XSS.
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
Mitigating Controls (NIST 800-53 r5) AI
Directly requires validation and sanitization of untrusted data (token metadata) before it is inserted into notification email bodies, blocking the HTML injection.
Mandates filtering of outbound information to remove or encode dangerous HTML/JS constructs, preventing XSS in email clients that render the Canarytoken notifications.
Provides integrity verification of email templates and generated notification content, allowing detection of unauthorized HTML modifications introduced by the flaw.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure SDLC practices directly require input validation and output encoding that prevent injection flaws.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Security testing in development catches injection vulnerabilities before release.
Logging supports detection of injection attempts but does not prevent the weakness.
Monitoring activities can identify active injection attacks after they occur.
Secure development life cycle mandates input validation and output encoding that directly prevent injection flaws.
Application security requirements explicitly call for controls against injection attacks in software design.
Secure architecture principles reduce injection surfaces but do not prescribe specific neutralization techniques.