MEDIUM
CVE-2026-34447
CWE-22Published: April 1, 2026· Updated: Apr 3, 2026
5.5
CVSS v3.1
EPSS:0.01%probability of exploitation in 30 daysPercentile:1.5th
Official Description
Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to version 1.21.0, there is a symlink traversal vulnerability in external data loading allows reading files outside the model directory. This issue has been patched in version 1.21.0.
Technical Analysis
CVE-2026-34447 requires local access, meaning attackers must already have a foothold on the target system.
Exploitation does not require any privileges, though user interaction (Required) is needed, which slightly reduces the risk of mass automated attacks.
A successful exploit results in complete confidentiality breach (data exposure), with a CVSS base score of 5.5.
CVSS v3.1 Vector Breakdown
Exploitability
Attack VectorLocal
Attack ComplexityLow
Privileges Req.None
User InteractionRequired
ScopeUnchanged
Impact
ConfidentialityHigh
IntegrityNone
AvailabilityNone
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N
Exploit & PoC Resources
NO KNOWN EXPLOITNo public exploit confirmed at this time
Exploit-DB
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GitHub PoC Search
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Rapid7 / Metasploit
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PacketStorm
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NVD Detail
Official NIST entry
MITRE CVE
CVE Program entry
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All References (1)
Quick Facts
CVE IDCVE-2026-34447
CVSS Score5.5 / 10
SeverityMEDIUM
WeaknessCWE-22
CISA KEVNo
EPSS (30d)0.01%
PublishedApr 1, 2026
Related CVEs (CWE-22)
Recommended Actions
- →Apply vendor patches immediately
- →Monitor CVE-2026-34447 in threat intel feeds
- →Review IDS/IPS signatures for exploitation attempts
Data sourced from NVD (NIST), CISA KEV, and EPSS (FIRST). Analysis generated by CTIWATCH.COM. CVE data is provided under the NVD usage policy.