CVE-2023-29918
Rosariosis 10.8.4
Raw vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:NSummary
CVE-2023-29918 is a medium-severity Improper Neutralization of Formula Elements in a CSV File (CWE-1236) vulnerability in Rosariosis Rosariosis. Its CVSS base score is 5.4 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique User Execution (T1204); ranked in the top 19% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
RosarioSIS version 10.8.4 contains a CSV injection vulnerability (CWE-1236) in the Periods Module. The flaw received a CVSS 3.1 score of 5.4 with the vector AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N, indicating a network-reachable issue that requires low-privileged authentication and some user interaction to produce limited confidentiality and integrity effects across a security boundary.
An authenticated attacker with access to the Periods Module can supply specially crafted data that is later exported as CSV. When a victim opens the resulting file in a spreadsheet application, the injected formulas or payloads execute in the victim's context, enabling the attacker to read or modify limited local resources without further privileges on the RosarioSIS server.
Public references consist of a shared technical document describing the issue, but no vendor advisory, patch release, or explicit mitigation steps are provided in the available references. The associated EPSS score remains low, with a current value of 0.0583 and a peak of 0.0673.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-1530
Vulnerability Data
RosarioSIS 10.8.4 is vulnerable to CSV injection via the Periods Module.
- 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 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.
Security testing in development can detect formula injection but does not itself implement the mitigation.
Secure SDLC mandates input validation and output encoding that directly prevents formula injection in CSV exports.
Application security requirements include rules for safe CSV generation and handling of untrusted data.
Secure architecture principles encourage safe data export design but do not specifically address CSV formula neutralization.
Secure coding standards explicitly require neutralization of special characters when writing CSV files.