CVE-2020-15206

Summary

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, changing the TensorFlow's SavedModel protocol buffer and altering the name of required keys results in segfaults and data corruption while loading the model. This can cause a denial of service in products using tensorflow-serving or other inference-as-a-service installments. Fixed were added in commits f760f88b4267d981e13f4b302c437ae800445968 and fcfef195637c6e365577829c4d67681695956e7d (both going into TensorFlow 2.2.0 and 2.3.0 but not yet backported to earlier versions). However, this was not enough, as #41097 reports a different failure mode. The issue is patched in commit adf095206f25471e864a8e63a0f1caef53a0e3a6, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

Affected Software

VendorProductVersion RangeStatus
tensorflowtensorflow< 1.15.4affected
tensorflowtensorflow>= 2.0.0, < 2.0.3affected
tensorflowtensorflow>= 2.1.0, < 2.1.2affected
tensorflowtensorflow>= 2.2.0, < 2.2.1affected
tensorflowtensorflow>= 2.3.0, < 2.3.1affected

Weaknesses

  • CWE-20: {"CWE-20":"Improper Input Validation"}

ADP Enrichment

CVE Program Container

Additional References

References