CVE-2021-29594

TensorFlow is an end-to-end open source platform for machine learning. TFLite's convolution codehttps://github.com/tensorflow/tensorflow/blob/09c73bca7d648e961dd05898292d91a8322a9d45/tensorflow/lite/kernels/conv.cc has multiple division where the divisor is controlled by the user and not checked ...

deep-floorplan (=0.0.0), mpunet (=0.2.9) +1 more potentially affected by CVE-2021-29594 via tensorflow-gpu (>=2.3.0 <=2.3.2)

tensorflow-gpu PYPI version =2.3.0, =1.1.0, =1.6.1 Source cves: CVE-2021-29594 Source advisory: OSV:GHSA-3QGW-P4FM-X7GF...

c4v-py (>=0.1.0.dev1 <=0.1.0.dev202107081840) potentially affected by CVE-2021-29594 via tensorflow-cpu (=2.3.1)

tensorflow-cpu PYPI version =2.3.1 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-cpu and may be impacted: - c4v-py =0.1.0.dev1, =0.1.0.dev202107081840 Source cves: CVE-2021-29594 Source advisory: OSV:GHSA-3QGW-P4FM-X7GF...

pycnet-audio (>=0.5.1 <=0.5.8) potentially affected by CVE-2021-29594 via tensorflow-cpu (=2.2.0)

tensorflow-cpu PYPI version =2.2.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-cpu and may be impacted: - pycnet-audio =0.5.1, =0.5.8 Source cves: CVE-2021-29594 Source advisory: OSV:GHSA-3QGW-P4FM-X7GF...

a2grunnerp (>=0.1.0 <=0.1.8), abba-python (>=0.1.6 <=0.3.0) +1358 more potentially affected by CVE-2021-29594 via tensorflow (>=1.0.1 <=2.1.2)

tensorflow PYPI version =1.0.1, =0.1.0, =0.1.6, =0.0.6, =0.1.0, =0.0.1, =1.1.2, =0.0.1, =2.0.0, =0.3.26, =0.2.1, =7.13.1, =0.0.1, =0.0.2 and more Source cves: CVE-2021-29594 Source advisory: OSV:GHSA-3QGW-P4FM-X7GF...

aiproteomics (=0.2.1), alpharing (>=1.0.0 <=2.0.0) +25 more potentially affected by CVE-2021-29594 via tensorflow-cpu (>=1.15.0 <=2.1.0)

tensorflow-cpu PYPI version =1.15.0, =1.0.0, =0.0.1, =1.0.0.4, =0.1.0, =0.2.3, =0.0.5, =0.1.2, =1.0.0, =1.8.2, =1.6.1, =1.8.3 - netfl =1.5.0 and more Source cves: CVE-2021-29594 Source advisory: OSV:GHSA-3QGW-P4FM-X7GF...

complaintclassify (=0.0.9) potentially affected by CVE-2021-29594 via tensorflow-cpu (=2.4.0)

tensorflow-cpu PYPI version =2.4.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-cpu and may be impacted: - complaintclassify =0.0.9 Source cves: CVE-2021-29594 Source advisory: OSV:GHSA-3QGW-P4FM-X7GF...

accuinsight (>=1.0.62 <=3.0.0rc2), adapt-diagnostics (>=1.2.0 <=1.6.0) +110 more potentially affected by CVE-2021-29594 via tensorflow (>=2.3.0 <=2.3.2)

tensorflow PYPI version =2.3.0, =1.0.62, =1.2.0, =0.1.0, =0.0.1a0, =0.0.1, =1.0.0rc1, =20210206.0.0, =0.1.0.dev1, =0.2.4, =1.0.1.0, =1.0.3 - cardec-cite =1.1.0 and more Source cves: CVE-2021-29594 Source advisory: OSV:PYSEC-2021-231...

deep-floorplan (=0.0.0), mpunet (=0.2.9) +1 more potentially affected by CVE-2021-29594 via tensorflow-gpu (>=2.3.0 <=2.3.2)

tensorflow-gpu PYPI version =2.3.0, =1.1.0, =1.6.1 Source cves: CVE-2021-29594 Source advisory: OSV:PYSEC-2021-720...

pycnet-audio (>=0.5.1 <=0.5.8) potentially affected by CVE-2021-29594 via tensorflow-cpu (=2.2.0)

tensorflow-cpu PYPI version =2.2.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-cpu and may be impacted: - pycnet-audio =0.5.1, =0.5.8 Source cves: CVE-2021-29594 Source advisory: OSV:PYSEC-2021-522...

complaintclassify (=0.0.9) potentially affected by CVE-2021-29594 via tensorflow-cpu (=2.4.0)

tensorflow-cpu PYPI version =2.4.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-cpu and may be impacted: - complaintclassify =0.0.9 Source cves: CVE-2021-29594 Source advisory: OSV:PYSEC-2021-522...

c4v-py (>=0.1.0.dev1 <=0.1.0.dev202107081840) potentially affected by CVE-2021-29594 via tensorflow-cpu (=2.3.1)

tensorflow-cpu PYPI version =2.3.1 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-cpu and may be impacted: - c4v-py =0.1.0.dev1, =0.1.0.dev202107081840 Source cves: CVE-2021-29594 Source advisory: OSV:PYSEC-2021-522...

abmarl (>=0.1.1 <=0.1.3), agrothon (>=1.1.5 <=1.3.2) +92 more potentially affected by CVE-2021-29594 via tensorflow (>=2.4.0 <=2.4.1)

tensorflow PYPI version =2.4.0, =0.1.1, =1.1.5, =2.1.0, =0.0.1, =0.0.6, =0.1.0, =1.4.0, =1.2.2, =20210221.0.0, =0.7.2, =0.0.0, =0.0.0.post0 and more Source cves: CVE-2021-29594 Source advisory: OSV:PYSEC-2021-231...

accuinsight (>=1.0.47 <=1.0.61), alphad3m (>=0.10.0 <=0.10.0.dev1) +88 more potentially affected by CVE-2021-29594 via tensorflow (>=2.2.0 <=2.2.2)

tensorflow PYPI version =2.2.0, =1.0.47, =0.10.0, =0.5.0, =0.2.0, =0.0.6, =1.2.0, =1.0.0, =0.0.15, =0.0.16 and more Source cves: CVE-2021-29594 Source advisory: OSV:PYSEC-2021-231...

CVE-2021-29594 Division by zero in TFLite's convolution code

TensorFlow is an end-to-end open source platform for machine learning. TFLite's convolution codehttps://github.com/tensorflow/tensorflow/blob/09c73bca7d648e961dd05898292d91a8322a9d45/tensorflow/lite/kernels/conv.cc has multiple division where the divisor is controlled by the user and not checked ...

CVE-2021-29594

This CVE refers to TensorFlow/TFLite: the convolution code in TFLite may perform divisions where the divisor is user-controlled and not checked for zero, risking abnormal behavior or a crash. The root cause is division by zero in the TFLite convolution path (conv.cc). The issue is mitigated by a ...