Buffer overflow in `CONV_3D_TRANSPOSE` on TFLite

Impact The reference kernel of the CONV3DTRANSPOSE TensorFlow Lite operator wrongly increments the dataptr when adding the bias to the result. Instead of dataptr += numchannels; it should be dataptr += outputnumchannels; as if the number of input channels is different than the number of output...

aggmap (>=1.1.1 <=1.2.1), molmap (>=1.3.1 <=1.4.0) potentially affected by CVE-2022-41893 via tensorflow-gpu (=2.9.1)

tensorflow-gpu PYPI version =2.9.1 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - aggmap =1.1.1, =1.3.1, =1.4.0 Source cves: CVE-2022-41893 Source advisory: OSV:GHSA-67PF-62XR-Q35M...

aimodelshare (>=0.0.157 <=0.1.0), aliby (>=0.1.18 <=0.1.55) +69 more potentially affected by CVE-2022-41893 via tensorflow (>=2.9.0 <=2.9.2)

tensorflow PYPI version =2.9.0, =0.0.157, =0.1.18, =0.1.11, =0.30.0, =0.2.6, =0.0.1, =1.0.0, =0.0.0, =4.8.2, =0.9.0, =0.99.1 - cvt-tensorflow =1.1.4 and more Source cves: CVE-2022-41893 Source advisory: OSV:GHSA-67PF-62XR-Q35M...

`CHECK_EQ` fail in `tf.raw_ops.TensorListResize`

Impact If tf.rawops.TensorListResize is given a nonscalar value for input size, it results CHECK fail which can be used to trigger a denial of service attack. python import numpy as np import tensorflow as tf a = datastructures.tftensorlistnewelements = tf.constantvalue=3, 4, 5 b = np.zeros0, 2, ...

animl (>=1.1.2 <=1.1.4), arekit (>=0.21.0 <=0.22.1) +189 more potentially affected by CVE-2022-41893 via tensorflow-gpu (>=1.10.1 <=2.8.3)

tensorflow-gpu PYPI version =1.10.1, =1.1.2, =0.21.0, =0.23.0, =0.9.2, =1.0.0, =0.1.0, =0.0.1, =0.0.9, =0.1.0, =0.0.1, =1.0.0, =1.0.3 - brainhance =0.0.1 and more Source cves: CVE-2022-41893 Source advisory: OSV:GHSA-67PF-62XR-Q35M...

GHSA-67PF-62XR-Q35M `CHECK_EQ` fail in `tf.raw_ops.TensorListResize`

Impact If tf.rawops.TensorListResize is given a nonscalar value for input size, it results CHECK fail which can be used to trigger a denial of service attack. python import numpy as np import tensorflow as tf a = datastructures.tftensorlistnewelements = tf.constantvalue=3, 4, 5 b = np.zeros0, 2, ...

a62-emotion (>=0.10.12 <=0.11.4), agent-atm (>=0.1.0 <=0.1.1) +103 more potentially affected by CVE-2022-41893 via tensorflow-cpu (>=1.15.0 <=2.7.4)

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, =0.1.0.dev1, =0.1.0.dev202107081840 and more Source cves: CVE-2022-41893 Source advisory: OSV:GHSA-67PF-62XR-Q35M...

clip-jax (=0.0.5), sdeper (>=1.1.0 <=1.6.1) potentially affected by CVE-2022-41893 via tensorflow-cpu (>=2.9.0 <=2.9.1)

tensorflow-cpu PYPI version =2.9.0, =1.1.0, =1.6.1 Source cves: CVE-2022-41893 Source advisory: OSV:GHSA-67PF-62XR-Q35M...

125softnlp (=0.0.1), a2 (>=0.10.11 <=0.10.13) +4935 more potentially affected by CVE-2022-41893 via tensorflow (>=1.0.1 <=2.8.3)

tensorflow PYPI version =1.0.1, =0.10.11, =0.1.0, =0.0.0, =0.5.0, =0.1.6, =1.0.0, =2.0.0, =1.0.0, =0.0.1, =0.0.7 and more Source cves: CVE-2022-41893 Source advisory: OSV:GHSA-67PF-62XR-Q35M...

animl (>=1.1.2 <=1.1.4), arekit (>=0.21.0 <=0.22.1) +189 more potentially affected by CVE-2022-41891 via tensorflow-gpu (>=1.10.1 <=2.8.3)

tensorflow-gpu PYPI version =1.10.1, =1.1.2, =0.21.0, =0.23.0, =0.9.2, =1.0.0, =0.1.0, =0.0.1, =0.0.9, =0.1.0, =0.0.1, =1.0.0, =1.0.3 - brainhance =0.0.1 and more Source cves: CVE-2022-41891 Source advisory: OSV:GHSA-66VQ-54FQ-6JVV...

clip-jax (=0.0.5), sdeper (>=1.1.0 <=1.6.1) potentially affected by CVE-2022-41891 via tensorflow-cpu (>=2.9.0 <=2.9.1)

tensorflow-cpu PYPI version =2.9.0, =1.1.0, =1.6.1 Source cves: CVE-2022-41891 Source advisory: OSV:GHSA-66VQ-54FQ-6JVV...

aimodelshare (>=0.0.157 <=0.1.0), aliby (>=0.1.18 <=0.1.55) +69 more potentially affected by CVE-2022-41891 via tensorflow (>=2.9.0 <=2.9.2)

tensorflow PYPI version =2.9.0, =0.0.157, =0.1.18, =0.1.11, =0.30.0, =0.2.6, =0.0.1, =1.0.0, =0.0.0, =4.8.2, =0.9.0, =0.99.1 - cvt-tensorflow =1.1.4 and more Source cves: CVE-2022-41891 Source advisory: OSV:GHSA-66VQ-54FQ-6JVV...

Segfault in `tf.raw_ops.TensorListConcat`

Impact If tf.rawops.TensorListConcat is given elementshape=, it results segmentation fault which can be used to trigger a denial of service attack. python import tensorflow as tf tf.rawops.TensorListConcat inputhandle=tf.data.experimental.tovarianttf.data.Dataset.fromtensorslices1, 2, 3,...

a62-emotion (>=0.10.12 <=0.11.4), agent-atm (>=0.1.0 <=0.1.1) +103 more potentially affected by CVE-2022-41891 via tensorflow-cpu (>=1.15.0 <=2.7.4)

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, =0.1.0.dev1, =0.1.0.dev202107081840 and more Source cves: CVE-2022-41891 Source advisory: OSV:GHSA-66VQ-54FQ-6JVV...

GHSA-66VQ-54FQ-6JVV Segfault in `tf.raw_ops.TensorListConcat`

Impact If tf.rawops.TensorListConcat is given elementshape=, it results segmentation fault which can be used to trigger a denial of service attack. python import tensorflow as tf tf.rawops.TensorListConcat inputhandle=tf.data.experimental.tovarianttf.data.Dataset.fromtensorslices1, 2, 3,...

aggmap (>=1.1.1 <=1.2.1), molmap (>=1.3.1 <=1.4.0) potentially affected by CVE-2022-41891 via tensorflow-gpu (=2.9.1)

tensorflow-gpu PYPI version =2.9.1 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - aggmap =1.1.1, =1.3.1, =1.4.0 Source cves: CVE-2022-41891 Source advisory: OSV:GHSA-66VQ-54FQ-6JVV...

125softnlp (=0.0.1), a2 (>=0.10.11 <=0.10.13) +4935 more potentially affected by CVE-2022-41891 via tensorflow (>=1.0.1 <=2.8.3)

tensorflow PYPI version =1.0.1, =0.10.11, =0.1.0, =0.0.0, =0.5.0, =0.1.6, =1.0.0, =2.0.0, =1.0.0, =0.0.1, =0.0.7 and more Source cves: CVE-2022-41891 Source advisory: OSV:GHSA-66VQ-54FQ-6JVV...

aggmap (>=1.1.1 <=1.2.1), molmap (>=1.3.1 <=1.4.0) potentially affected by CVE-2022-41890 via tensorflow-gpu (=2.9.1)

tensorflow-gpu PYPI version =2.9.1 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - aggmap =1.1.1, =1.3.1, =1.4.0 Source cves: CVE-2022-41890 Source advisory: OSV:GHSA-H246-CGH4-7475...

clip-jax (=0.0.5), sdeper (>=1.1.0 <=1.6.1) potentially affected by CVE-2022-41890 via tensorflow-cpu (>=2.9.0 <=2.9.1)

tensorflow-cpu PYPI version =2.9.0, =1.1.0, =1.6.1 Source cves: CVE-2022-41890 Source advisory: OSV:GHSA-H246-CGH4-7475...

GHSA-H246-CGH4-7475 `CHECK` fail in `BCast` overflow

Impact If BCast::ToShape is given input larger than an int32, it will crash, despite being supposed to handle up to an int64. An example can be seen in tf.experimental.numpy.outer by passing in large input to the input b. python import tensorflow as tf value = tf.constantshape=2, 1024, 1024, 1024...