CVE-2020-5299

Summary

CVECVE-2020-5299
StatePUBLIC
Assigner[email protected]
Source PriorityCVE Program / NVD first with legacy fallback
Published2020-06-03 22:15:00 UTC
Updated2022-06-30 14:46:00 UTC
DescriptionIn OctoberCMS (october/october composer package) versions from 1.0.319 and before 1.0.466, any users with the ability to modify any data that could eventually be exported as a CSV file from the `ImportExportController` could potentially introduce a CSV injection into the data to cause the generated CSV export file to be malicious. This requires attackers to achieve the following before a successful attack can be completed: 1. Have found a vulnerability in the victims spreadsheet software of choice. 2. Control data that would potentially be exported through the `ImportExportController` by a theoretical victim. 3. Convince the victim to export above data as a CSV and run it in vulnerable spreadsheet software while also bypassing any sanity checks by said software. Issue has been patched in Build 466 (v1.0.466).

Risk And Classification

Problem Types: CWE-77

NVD Known Affected Configurations (CPE 2.3)

TypeVendorProductVersionUpdateEditionLanguage
Application Octobercms October All All All All
Application Octobercms October All All All All

References

ReferenceSourceLinkTags
Temporary workaround until the L6 upgrade can be merged in to use lea… · octobercms/october@802d8c8 · GitHub MISC github.com Patch, Third Party Advisory
October CMS Build 465 XSS / File Read / File Deletion / CSV Injection ≈ Packet Storm MISC packetstormsecurity.com
Potential CSV Injection vector · Advisory · octobercms/october · GitHub CONFIRM github.com Patch, Third Party Advisory
Temporary workaround until the L6 upgrade can be merged in to use lea… · octobercms/library@c84bf03 · GitHub MISC github.com Patch, Third Party Advisory
Full Disclosure: October CMS <= Build 465 Multiple Vulnerabilities - Arbitrary File Read FULLDISC seclists.org
CVE Program record CVE.ORG www.cve.org canonical
NVD vulnerability detail NVD nvd.nist.gov canonical, analysis

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