SUSE CVE-2021-29583

TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.rawops.FusedBatchNorm is vulnerable to a heap buffer overflow. If the tensors are empty, the same implementation can trigger undefined behavior by dereferencing null pointers. The...

accuinsight (>=1.0.47 <=1.0.61), alphad3m (>=0.10.0 <=0.10.0.dev1) +88 more potentially affected by CVE-2021-29583 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-2021-29583 Source advisory: OSV:GHSA-9XH4-23Q4-V6WR...

abmarl (>=0.1.1 <=0.1.3), agrothon (>=1.1.5 <=1.3.2) +92 more potentially affected by CVE-2021-29583 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-2021-29583 Source advisory: OSV:GHSA-9XH4-23Q4-V6WR...

pycnet-audio (>=0.5.1 <=0.5.8) potentially affected by CVE-2021-29583 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-2021-29583 Source advisory: OSV:GHSA-9XH4-23Q4-V6WR...

aiproteomics (=0.2.1), alpharing (>=1.0.0 <=2.0.0) +25 more potentially affected by CVE-2021-29583 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-2021-29583 Source advisory: OSV:GHSA-9XH4-23Q4-V6WR...

d3m-simon (=1.2.5), easyquake (>=1.3.0 <=1.4.0) potentially affected by CVE-2021-29583 via tensorflow-gpu (=2.2.0)

tensorflow-gpu PYPI version =2.2.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - d3m-simon =1.2.5 - easyquake =1.3.0, =1.4.0 Source cves: CVE-2021-29583 Source advisory: OSV:GHSA-9XH4-23Q4-V6WR...

brainhance (=0.0.1), crystal4d (>=0.0.4 <=0.1.2) +3 more potentially affected by CVE-2021-29583 via tensorflow-gpu (>=2.4.0 <=2.4.1)

tensorflow-gpu PYPI version =2.4.0, =0.0.4, =1.1.1, =1.0.0, =1.0.1 - tf-yarn-gpu =0.6.3 Source cves: CVE-2021-29583 Source advisory: OSV:GHSA-9XH4-23Q4-V6WR...

arekit (>=0.21.0 <=0.22.1), arenets (>=0.23.0 <=0.23.1) +161 more potentially affected by CVE-2021-29583 via tensorflow-gpu (>=1.10.1 <=2.1.1)

tensorflow-gpu PYPI version =1.10.1, =0.21.0, =0.23.0, =0.9.2, =0.1.0, =0.0.1, =0.1.0, =0.0.1, =1.0.0, =1.0.3 - cctv-analysis =0.0.2 - chatbot-nlu =1.0.0 - classitransformers =0.0.1 and more Source cves: CVE-2021-29583 Source advisory: OSV:GHSA-9XH4-23Q4-V6WR...

deep-floorplan (=0.0.0), mpunet (=0.2.9) +1 more potentially affected by CVE-2021-29583 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-2021-29583 Source advisory: OSV:GHSA-9XH4-23Q4-V6WR...

deep-floorplan (=0.0.0), mpunet (=0.2.9) +1 more potentially affected by CVE-2021-29583 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-2021-29583 Source advisory: OSV:PYSEC-2021-709...

arekit (>=0.21.0 <=0.22.1), arenets (>=0.23.0 <=0.23.1) +163 more potentially affected by CVE-2021-29583 via tensorflow-gpu (>=1.10.1 <=2.2.0)

tensorflow-gpu PYPI version =1.10.1, =0.21.0, =0.23.0, =0.9.2, =0.1.0, =0.0.1, =0.1.0, =0.0.1, =1.0.0, =1.0.3 - cctv-analysis =0.0.2 - chatbot-nlu =1.0.0 - classitransformers =0.0.1 and more Source cves: CVE-2021-29583 Source advisory: OSV:PYSEC-2021-709...

d3m-simon (=1.2.5), deep-floorplan (=0.0.0) +2 more potentially affected by CVE-2021-29583 via tensorflow-gpu (>=2.2.0 <=2.3.0)

tensorflow-gpu PYPI version =2.2.0, =1.3.0, =2.2.0, =2.2.0rc2 Source cves: CVE-2021-29583 Source advisory: OSV:PYSEC-2021-709...

a62-emotion (>=0.10.12 <=0.11.4), agent-atm (>=0.1.0 <=0.1.1) +98 more potentially affected by CVE-2021-29583 via tensorflow-cpu (>=1.15.0 <=2.2.0)

tensorflow-cpu PYPI version =1.15.0, =0.10.12, =0.1.0, =2.0.0, =2.0.0, =1.0.0, =0.0.5, =0.3.0, =0.0.1, =0.8.1, =0.1.1, =1.3.0, =0.0.1, =0.3.3 and more Source cves: CVE-2021-29583 Source advisory: OSV:PYSEC-2021-511...

c4v-py (>=0.1.0.dev1 <=0.1.0.dev202107081840) potentially affected by CVE-2021-29583 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-2021-29583 Source advisory: OSV:PYSEC-2021-511...

pycnet-audio (>=0.5.1 <=0.5.8), qihoo-tensornet (>=0.102.0.dev0 <=0.102.2.post1) potentially affected by CVE-2021-29583 via tensorflow-cpu (>=2.2.0 <=2.2.3)

tensorflow-cpu PYPI version =2.2.0, =0.5.1, =0.102.0.dev0, =0.102.2.post1 Source cves: CVE-2021-29583 Source advisory: OSV:PYSEC-2021-511...

accuinsight (>=1.0.47 <=1.0.61), adapt-diagnostics (=1.2.0) +171 more potentially affected by CVE-2021-29583 via tensorflow (>=2.2.0 <=2.3.0)

tensorflow PYPI version =2.2.0, =1.0.47, =0.1.0, =0.10.0, =0.5.0, =0.0.1, =0.0.2 and more Source cves: CVE-2021-29583 Source advisory: OSV:PYSEC-2021-220...

accuinsight (>=1.0.62 <=3.0.0rc2), adapt-diagnostics (>=1.2.0 <=1.6.0) +110 more potentially affected by CVE-2021-29583 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-2021-29583 Source advisory: OSV:PYSEC-2021-220...

125softnlp (=0.0.1), a2 (>=0.10.11 <=0.10.13) +4695 more potentially affected by CVE-2021-29583 via tensorflow (>=1.0.1 <=2.2.0)

tensorflow PYPI version =1.0.1, =0.10.11, =0.1.0, =0.0.0, =0.6.0, =0.1.6, =1.0.0, =0.0.1, =0.2.0, =0.6.0, =0.1.0, =0.1.0, =0.2.0 and more Source cves: CVE-2021-29583 Source advisory: OSV:PYSEC-2021-220...

CVE-2021-29583

TensorFlow CVE-2021-29583 / GHSA-9XH4-23Q4-V6WR describe a heap buffer overflow and undefined behavior in tf.raw_ops.FusedBatchNorm when inputs like scale, offset, mean, or variance have mismatched shapes or are empty. Root cause: missing validation that these tensors match the number of channels...