Описание
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.
| Релиз | Статус | Примечание |
|---|---|---|
| devel | needs-triage | |
| esm-apps-legacy/xenial | not-affected | code not present |
| esm-apps/bionic | not-affected | code not present |
| esm-apps/focal | not-affected | code not present |
| esm-apps/jammy | not-affected | code not present |
| esm-apps/noble | released | 7:6.1.1-3ubuntu5+esm10 |
| esm-apps/resolute | not-affected | 7:7.1.2-1 |
| esm-apps/xenial | ignored | end of ESM support, was needs-triage |
| jammy | not-affected | code not present |
| noble | needed |
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| Релиз | Статус | Примечание |
|---|---|---|
| devel | DNE | |
| esm-infra-legacy/trusty | not-affected | code not present |
| jammy | DNE | |
| noble | DNE | |
| plucky | DNE | |
| questing | DNE | |
| resolute | DNE | |
| upstream | needs-triage |
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EPSS
3.3 Low
CVSS3
Связанные уязвимости
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.
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.
A flaw was found in FFmpeg\u2019s TensorFlow backend within the libavf ...
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.
EPSS
3.3 Low
CVSS3