CVE-2023-46401
Kwhotel 0.47
Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HCVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.
Summary
CVE-2023-46401 is a critical-severity Improper Neutralization of Formula Elements in a CSV File (CWE-1236) vulnerability in Kwhotel Kwhotel. Its CVSS base score is 9.8 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique LSASS Memory (T1003.001); ranked at the 41th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
The strongest mitigations our analysis identified map to SI-15 (Information Output Filtering) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
CVE-2023-46401 is a CSV Formula Injection vulnerability in the invoice adding function of KWHotel version 0.47. Published on 2025-01-23, it carries a CVSS v3.1 base score of 9.8 (AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H) and is associated with CWE-1236.
The vulnerability can be exploited by any unauthenticated remote attacker over the network, requiring low complexity and no user interaction. Successful exploitation enables high-impact consequences on confidentiality, integrity, and availability.
Mitigation details are available in the referenced advisory at https://gist.github.com/6en6ar/5d39374d6ced8acbe489e0b1b932d056.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-50621
Vulnerability Data
KWHotel 0.47 is vulnerable to CSV Formula Injection in the invoice adding function.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.2.10
Mitigating Controls (NIST 800-53 r5) AI
Output filtering/validation directly stops unneutralized formula elements from being written into CSV files.
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 output neutralization for untrusted CSV content to block formula injection.
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.