How severe is CVE-2025-12343?

CVE-2025-12343 has a CVSS 3.x base score of 3.3, rated low severity. It is exploitable over local access with low attack complexity, requires no privileges and user interaction. Impact on confidentiality is none, integrity none, and availability low.

Is CVE-2025-12343 being actively exploited?

It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 0% (5th percentile), an estimate of the probability of exploitation in the next 30 days.

What products are affected by CVE-2025-12343?

CVE-2025-12343 affects Ffmpeg. See the affected-products list for the exact vulnerable versions.

How do I fix CVE-2025-12343?

Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround.

Does CVE-2025-12343 have an EU (EUVD) identifier?

Yes. CVE-2025-12343 is tracked in the ENISA EU Vulnerability Database (EUVD) as EUVD-2025-207797.

When was CVE-2025-12343 published?

CVE-2025-12343 was published on 2026-02-18 and last updated on 2026-06-17.

CVE-2025-12343

CVE-2025-12343 is a low-severity vulnerability in Ffmpeg with a CVSS 3.x base score of 3.3. It is not currently listed as actively exploited by CISA, and its EPSS exploit-prediction score is low. The underlying weakness is classified as CWE-415.

Key facts

Severity: Low (CVSS 3.x base score 3.3)
EPSS exploit prediction: 0% (5th percentile)
Actively exploited: Not listed in CISA KEV
EU (EUVD) id: EUVD-2025-207797
Weakness: CWE-415
Affected product: Ffmpeg
Published: 2026-02-18
Last modified: 2026-06-17

Description

A flaw was found in FFmpeg’s TensorFlow backend within the libavfilter/dnn_backend_tf.c source file. The issue occurs in the dnn_execute_model_tf() function, where a task object is freed multiple times in certain error-handling paths. This redundant memory deallocation can lead to a double-free condition, potentially causing FFmpeg or any application using it to crash when processing TensorFlow-based DNN models. This results in a denial-of-service scenario but does not allow arbitrary code execution under normal conditions.

Frequently asked questions

What is CVE-2025-12343?: A flaw was found in FFmpeg’s TensorFlow backend within the libavfilter/dnn_backend_tf.c source file. The issue occurs in the dnn_execute_model_tf() function, where a task object is freed multiple times in certain error-handling paths. This redundant memory deallocation can lead to a double-free condition, potentially causing FFmpeg or any application using it to crash when processing TensorFlow-based DNN models. This results in a denial-of-service scenario but does not allow arbitrary code execution under normal conditions.
How severe is CVE-2025-12343?: CVE-2025-12343 has a CVSS 3.x base score of 3.3, rated low severity. It is exploitable over local access with low attack complexity, requires no privileges and user interaction. Impact on confidentiality is none, integrity none, and availability low.
Is CVE-2025-12343 being actively exploited?: It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 0% (5th percentile), an estimate of the probability of exploitation in the next 30 days.
What products are affected by CVE-2025-12343?: CVE-2025-12343 affects Ffmpeg. See the affected-products list for the exact vulnerable versions.
How do I fix CVE-2025-12343?: Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround.
Does CVE-2025-12343 have an EU (EUVD) identifier?: Yes. CVE-2025-12343 is tracked in the ENISA EU Vulnerability Database (EUVD) as EUVD-2025-207797.
When was CVE-2025-12343 published?: CVE-2025-12343 was published on 2026-02-18 and last updated on 2026-06-17.

References

Affected products (1)

cpe:2.3:a:ffmpeg:ffmpeg:*:*:*:*:*:*:*:*

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