Security Resilience

CVE-2026-110607

Public PoC
Published
14 October 2026
Modified
14 October 2026
CVSS Score v4 7.1
Click a component to see what it means
Raw vectorCVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:H/VA:N/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
EPSS Score 0.0031 22th percentile
Risk Priority 35 floored blend · peak EPSS

CVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.

Summary

CVE-2026-110607 is a high-severity Insufficient Verification of Data Authenticity (CWE-345) vulnerability in Hackmd (inferred from references). Its CVSS base score is 7.1 (High).

Operationally, ranked at the 22th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

BizSpring Shop through commit cf22d39daaf1 contains a payment verification bypass vulnerability that allows authenticated buyers to mark orders paid by calling the PaymentController.testPostPay handler. Attackers can generate a payment log via /member/payment/load and request /member/payment/test_post_pay_{paymentLogSn} to obtain goods without paying…

more

or settle other members' orders.

CWE(s)

Related Threats

CVEs Like This One

CVE-2026-7792Shared CWE-345
CVE-2023-4589Shared CWE-345
CVE-2023-5450Shared CWE-345
CVE-2026-65583Shared CWE-345
CVE-2024-54111Shared CWE-345
CVE-2026-25921Shared CWE-345
CVE-2026-62869Shared CWE-345
CVE-2023-43636Shared CWE-345
CVE-2026-12724Shared CWE-345
CVE-2026-107102Shared CWE-345

Affected Assets

Hackmd
—
inferred from references and description; NVD did not file a CPE for this CVE

Mitigating Controls

Likely Mitigating Controls AI

Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.

addresses: CWE-345

Directly requires independent verification of matching output before adverse decisions, mitigating insufficient authenticity checks on data from external sources.

addresses: CWE-345

Use of approved PKI certificates provides verifiable data authenticity and origin for communications and artifacts.

addresses: CWE-345

Mandates provision of authenticity and integrity artifacts that enable verification of name/address resolution data.

addresses: CWE-345

Requires explicit verification of data authenticity from authoritative sources, preventing acceptance of unauthenticated resolution responses.

addresses: CWE-345

Control requires verification of data authenticity/integrity (e.g., checksums) after aggregation/packing, directly reducing exploitation of insufficient verification before transmission.

addresses: CWE-345

Time synchronization supports reliable freshness verification when checking data authenticity across systems or components.

addresses: CWE-345

Mandates verification of data authenticity for software, firmware, and information.

addresses: CWE-345

Provenance documentation and monitoring directly enables verification of authenticity for components and data throughout their history.

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.

blocks

A.8.24's guidance on identifying protection levels, selecting algorithms/strength for authenticity/integrity (items b,f), using cryptography for transmitted/stored data (c), and key management directly stops many CWE-345 exploits by ensuring verifiable authenticity; however, it leaves a bounded remainder where verification logic itself is flawed or absent (e.g. accepting unverified signatures or weak schemes), as the control depends on correct implementation in other mechanisms.

blocks

Secure SDLC incorporates authenticity verification requirements throughout development.

blocks

Application security requirements can mandate data authenticity verification mechanisms.

prevents

Secure coding practices include implementing proper data authenticity checks.

finds

Security testing can detect missing or weak data authenticity verification.

blocks

Secure authentication of data sources ensures only valid, authentic data is accepted.

Hardening callouts derived

DISA STIG baselines are authored against specific weaknesses. Where this CVE cites a broad weakness class, the mapping is not asserted at that abstraction (owner ruling, 2026-09-25: grade only at Base and below), so no rule is shown here rather than a rule shown against the wrong grain.

References