Unauthenticated arbitrary file upload via missing validation
Published Apr 26, 2024 · Updated Apr 8, 2026
Unrestricted file upload in Themeisle PPOM 32.0.18 and earlier allows remote attackers to place arbitrary files on the server. The ppom_upload_file function accepts uploaded content without validating its file type before writing it to the affected site's server. Exploitation requires PPOM Pro and a WooCommerce product configured with a file-upload field to expose the required nonce; executing an uploaded server-side file grants code execution.
Summary
What happened
Unrestricted file upload in Themeisle PPOM 32.0.18 and earlier allows remote attackers to place arbitrary files on the server. The ppom_upload_file function accepts uploaded content without validating its file type before writing it to the affected site's server. Exploitation requires PPOM Pro and a WooCommerce product configured with a file-upload field to expose the required nonce; executing an uploaded server-side file grants code execution.
The record
- CVE
- CVE-2024-3962
- Published
- Apr 26, 2024
- Updated
- Apr 8, 2026
- Vendor
- Themeisle
- Product
- PPOM
- Classifications
- CWE-434, T1190
- Attack vector
- network
- Privileges
- unauthenticated
Timeline
How it unfolded
- Apr 26, 2024CVE publishedPublication date reported by the CVE source.
- Apr 8, 2026Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
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Is a vulnerable build present?
Compare these published version ranges with your installed build and any vendor patches.
- Affected versionversion=0 <=32.0.18
What conditions does exploitation require?
What is affected?
Published CVSS scores
CVSS describes severity. EPSS estimates exploitation probability.
Attacks
What attackers are doing with it
Daily unique IPs observed by Shadowserver honeypots for known exploited vulnerabilities (KEVs). Missing observations do not establish an absence of attacks.
Weakness, pattern, technique
Public exploit references
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Technologies
Your stack
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Your stack
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