Ultralytics maintains a focused portfolio centered on its widely adopted YOLOv3 and YOLOv5 object-detection frameworks, which are embedded in computer-vision applications across research, industry, and edge-deployment contexts. The durable signal in its vulnerability profile centers on deserialization of untrusted data, reflecting the model-loading and serialization mechanics inherent to machine-learning frameworks. Current severity, exploitation, and exposure counts are shown alongside this summary.
The number and severity of CVEs published that impact products developed by Ultralytics over time
Signals from CVEs in this vendor scope (2 CVEs).
2 CVEs · Highest risk first
| CVE | Published | CVSS | Risk | KEV | Exploit |
|---|---|---|---|---|---|
CVE-2021-31681HIGH Deserialization of Untrusted Data vulnerability in yolo 3 allows attackers to execute arbitrary code via crafted yaml file. | Jul 31, 2023 | 7.8 | 23 | NO | NO |
CVE-2021-31680HIGH Deserialization of Untrusted Data vulnerability in yolo 5 allows attackers to execute arbitrary code via crafted yaml file. | Jul 31, 2023 | 7.8 | 23 | NO | NO |
Signals from CVEs in this vendor scope (2 CVEs).
An overview of all social media posts that mention a CVE ID that affects a product developed by Ultralytics.
Media articles that mention a CVE ID that affects a product developed by Ultralytics — matched by CVE ID, not by vendor name.