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CVE-2026-50144

ncnn: Out-of-bounds heap write in ParamDict::load_param via unchecked negative parameter id

High7.1EPSS 0.16%
Published
Updated
Reserved
Assigned by
GitHub_M

Description

ncnn is a high-performance neural network inference framework optimized for the mobile platform. In commit e54f7b1f88434e1d844ea0551b880a1cfb079ce1 and earlier, ncnn allows an out-of-bounds heap write in ncnn::ParamDict::load_param() when Net::load_param() loads a malicious .param model file because the parsed parameter id is checked only against id >= NCNN_MAX_PARAM_COUNT, allowing a negative id to index before the params[NCNN_MAX_PARAM_COUNT] array. This vulnerability is fixed by commit 5a0288f255daa6c3294f77109f67718e434ec020.

Scores

CVSS scores of CVE-2026-50144, by who scored it
Scored byCVSSScoreVector
GitHub_MCNA (assigner)3.1High7.1CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:H
NVDNVD · Awaiting Analysis3.1High7.1CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:H
EPSS (exploitation in 30 days)
0.16% · top 95% of all CVEs (6 Nov 2026)
CISA SSVC
Exploitation: poc · Automatable: no · Technical impact: total
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The list uses the assigner's score when there is one, then CISA's, then NVD's: High 7.1.

Weakness

Affected products

  • Tencent · ncnn

    • affected < 5a0288f255daa6c3294f77109f67718e434ec020
    • affected <= 20260526

References (2)

Sources

The same CVE in the primary databases and aggregators, to check against.

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Record last updated .