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CVE-2026-103820 is a path traversal vulnerability (CWE-22) affecting Adobe's CAI Content Credential ecosystem — specifically the Content Credentials Rust SDK, Content Credentials JS SDK, and C2PA Tool. The flaw allows an attacker to write arbitrary files to unauthorized locations outside of intended directory restrictions. Affected versions include Content Credentials Rust SDK up to and including c2pa-v0.90.15, Content Credentials JS SDK up to and including @contentauth/c2pa-web@0.13.4, and C2PA Tool up to and including c2patool-v0.27.15. The vulnerability was published on October 13, 2026, with patches released the same day. It carries a CVSS v3.1 base score of 5.5 (Medium) (GitHub Advisory, Adobe Advisory).
The vulnerability is classified as CWE-22 (Improper Limitation of a Pathname to a Restricted Directory), a classic "zip slip" or archive path traversal pattern. When a victim extracts a maliciously crafted archive file using one of the affected SDKs or tools, the software fails to properly sanitize file paths embedded within the archive, allowing path components such as ../ sequences to resolve to locations outside the intended extraction directory. The attack vector is local, requires no privileges, but does require user interaction — specifically, a victim must be tricked into extracting the malicious file. No public proof-of-concept code has been identified (GitHub Advisory, Adobe Advisory).
Successful exploitation results in arbitrary file writes to locations outside the intended extraction directory on the victim's file system, with a high integrity impact and no direct confidentiality or availability impact per the CVSS scoring. In practice, arbitrary file write primitives can be escalated to code execution by overwriting executable files, configuration files, startup scripts, or other sensitive system artifacts. The scope is limited to the local system of the user who extracts the malicious file, with no direct network-based lateral movement capability (GitHub Advisory, Adobe Advisory).
There is no evidence of active in-the-wild exploitation or publicly available proof-of-concept code as of the time of publication. The EPSS score is approximately 0.216% (11th percentile), indicating a low near-term exploitation probability. The NVD SSVC assessment classifies exploitation as "none" and the attack as non-automatable, reflecting the requirement for user interaction. CVE-2026-103820 does not appear in the CISA Known Exploited Vulnerabilities (KEV) catalog (GitHub Advisory, Adobe Advisory).
../../etc/cron.d/malicious or ../../.bashrc) pointing to sensitive locations outside the intended extraction directory./etc/, startup script directories, application config folders); modification timestamps on system files coinciding with archive extraction events.auditd, Windows Security Event Log) showing file creation or write events by c2patool or SDK processes in unexpected directories; application logs recording extraction of archives with unusual path entries... sequences; unexpected child processes spawned after file extraction (indicative of overwritten scripts being executed).Adobe has released patched versions for all three affected components: Content Credentials Rust SDK v0.91.1 (fixing versions ≤c2pa-v0.90.15), C2PA Tool v0.28.1 (fixing versions ≤c2patool-v0.27.15), and Content Credentials JS SDK @contentauth/c2pa-web@0.15.3 (fixing versions ≤0.13.4). Users should update to these versions immediately. As a behavioral workaround, organizations should train users not to extract C2PA or Content Credential archives from untrusted or unknown sources. No configuration-based mitigation is available as a substitute for patching (Adobe Advisory, GitHub Advisory).
The vulnerability received routine coverage from automated security feeds and vulnerability tracking services, including AusCERT (ESB-2026.12622) and cve.report, as well as a Mastodon post from the @cve account on infosec.exchange. No notable independent researcher commentary or significant media coverage has been identified beyond standard advisory republication. Community sentiment appears measured given the medium severity score and requirement for user interaction.
Fonte: Questo report è stato generato utilizzando l'intelligenza artificiale
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