lsmmdma (>=0.0.4 <=0.1.7), tpu-tf2 (=1.0.0) potentially affected by CVE-2022-29202 via tensorflow-cpu (=2.7.0)

tensorflow-cpu PYPI version =2.7.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-cpu and may be impacted: - lsmmdma =0.0.4, =0.1.7 - tpu-tf2 =1.0.0 Source cves: CVE-2022-29202 Source advisory: OSV:GHSA-CWPM-F78V-7M5C...

animl (>=1.1.2 <=1.1.4), arekit (>=0.21.0 <=0.22.1) +176 more potentially affected by CVE-2022-29202 via tensorflow-gpu (>=1.10.1 <=2.6.3)

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-2022-29202 Source advisory: OSV:GHSA-CWPM-F78V-7M5C...

125softnlp (=0.0.1), a2 (>=0.10.11 <=0.10.13) +4878 more potentially affected by CVE-2022-29202 via tensorflow (>=1.0.1 <=2.6.3)

tensorflow PYPI version =1.0.1, =0.10.11, =0.1.0, =0.0.0, =0.6.0, =0.1.6, =1.0.0, =2.0.0, =1.0.0, =0.0.1, =0.0.7 and more Source cves: CVE-2022-29202 Source advisory: OSV:GHSA-CWPM-F78V-7M5C...

causalegm (>=0.2.1 <=0.2.5), chrombpnet (>=0.1.0 <=0.1.2) +3 more potentially affected by CVE-2022-29202 via tensorflow-gpu (=2.8.0)

tensorflow-gpu PYPI version =2.8.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - causalegm =0.2.1, =0.1.0, =0.0.6, =2.3.5, =2.4.1 - tlaunch =0.0.2 Source cves: CVE-2022-29202 Source advisory: OSV:GHSA-CWPM-F78V-7...

Denial of service in `tf.ragged.constant` due to lack of validation

Impact The implementation of tf.ragged.constant does not fully validate the input arguments. This results in a denial of service by consuming all available memory: python import tensorflow as tf tf.ragged.constantpylist=,raggedrank=8968073515812833920 Patches We have patched the issue in GitHub...

GHSA-CWPM-F78V-7M5C Denial of service in `tf.ragged.constant` due to lack of validation

Impact The implementation of tf.ragged.constant does not fully validate the input arguments. This results in a denial of service by consuming all available memory: python import tensorflow as tf tf.ragged.constantpylist=,raggedrank=8968073515812833920 Patches We have patched the issue in GitHub...

125softnlp (=0.0.1), a2 (>=0.10.11 <=0.10.13) +4878 more potentially affected by CVE-2022-29201 via tensorflow (>=1.0.1 <=2.6.3)

tensorflow PYPI version =1.0.1, =0.10.11, =0.1.0, =0.0.0, =0.6.0, =0.1.6, =1.0.0, =2.0.0, =1.0.0, =0.0.1, =0.0.7 and more Source cves: CVE-2022-29201 Source advisory: OSV:GHSA-PQHM-4WVF-2JG8...

aadhaar-detection (=0.5.0), accuinsight (>=1.0.84 <=1.0.87) +39 more potentially affected by CVE-2022-29201 via tensorflow (>=2.7.0 <=2.7.1)

tensorflow PYPI version =2.7.0, =1.0.84, =3.0.22, =0.1.11, =0.1.11, =0.1.11, =0.1.0, =0.0.1, =1.2.1, =0.1.5.dev202303131412, =0.1.0, =0.1.1 and more Source cves: CVE-2022-29201 Source advisory: OSV:GHSA-PQHM-4WVF-2JG8...

a62-emotion (>=0.10.12 <=0.11.4), aiproteomics (=0.2.1) +97 more potentially affected by CVE-2022-29201 via tensorflow-cpu (>=1.15.0 <=2.5.3)

tensorflow-cpu PYPI version =1.15.0, =0.10.12, =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, =0.0.1, =0.3.3 and more Source cves: CVE-2022-29201 Source advisory: OSV:GHSA-PQHM-4WVF-2JG8...

lsmmdma (>=0.0.4 <=0.1.7), tpu-tf2 (=1.0.0) potentially affected by CVE-2022-29201 via tensorflow-cpu (=2.7.0)

tensorflow-cpu PYPI version =2.7.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-cpu and may be impacted: - lsmmdma =0.0.4, =0.1.7 - tpu-tf2 =1.0.0 Source cves: CVE-2022-29201 Source advisory: OSV:GHSA-PQHM-4WVF-2JG8...

animl (>=1.1.2 <=1.1.4), arekit (>=0.21.0 <=0.22.1) +176 more potentially affected by CVE-2022-29201 via tensorflow-gpu (>=1.10.1 <=2.6.3)

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-2022-29201 Source advisory: OSV:GHSA-PQHM-4WVF-2JG8...

acuity (=6.18.0), acuitypro (=6.18.0) +60 more potentially affected by CVE-2022-29201 via tensorflow (>=2.8.0 <=2.8.0rc1)

tensorflow PYPI version =2.8.0, =1.2.8, =1.0.43, =0.2.2, =0.0.1, =0.0.2, =0.2.8, =0.14.0, =0.1.3, =0.0.9, =0.2.27, =0.2.41 - complaintclassify =0.0.5 - conversational-sentence-encoder =0.0.6 and more Source cves: CVE-2022-29201 Source advisory: OSV:GHSA-PQHM-4WVF-2JG8...

rpnet (>=0.0.1 <=0.1.0), rpnet-dev (>=0.0.5 <=0.0.12) +4 more potentially affected by CVE-2022-29201 via tensorflow-gpu (=2.7.0)

tensorflow-gpu PYPI version =2.7.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - rpnet =0.0.1, =0.0.5, =1.0.5, =1.1.1 - tpu-tf2 =1.0.0 - troj =1.0.0 Source cves: CVE-2022-29201 Source advisory:...

Missing validation results in undefined behavior in `QuantizedConv2D`

Impact The implementation of tf.rawops.QuantizedConv2D does not fully validate the input arguments: python import tensorflow as tf input = tf.constant1, shape=1, 2, 3, 3, dtype=tf.quint8 filter = tf.constant1, shape=1, 2, 3, 3, dtype=tf.quint8 bad args mininput = tf.constant, shape=0,...

GHSA-PQHM-4WVF-2JG8 Missing validation results in undefined behavior in `QuantizedConv2D`

Impact The implementation of tf.rawops.QuantizedConv2D does not fully validate the input arguments: python import tensorflow as tf input = tf.constant1, shape=1, 2, 3, 3, dtype=tf.quint8 filter = tf.constant1, shape=1, 2, 3, 3, dtype=tf.quint8 bad args mininput = tf.constant, shape=0,...

a62-emotion (>=0.10.12 <=0.11.4), aiproteomics (=0.2.1) +97 more potentially affected by CVE-2022-29200 via tensorflow-cpu (>=1.15.0 <=2.5.3)

tensorflow-cpu PYPI version =1.15.0, =0.10.12, =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, =0.0.1, =0.3.3 and more Source cves: CVE-2022-29200 Source advisory: OSV:GHSA-2VV3-56QG-G2CF...

aadhaar-detection (=0.5.0), accuinsight (>=1.0.84 <=1.0.87) +39 more potentially affected by CVE-2022-29200 via tensorflow (>=2.7.0 <=2.7.1)

tensorflow PYPI version =2.7.0, =1.0.84, =3.0.22, =0.1.11, =0.1.11, =0.1.11, =0.1.0, =0.0.1, =1.2.1, =0.1.5.dev202303131412, =0.1.0, =0.1.1 and more Source cves: CVE-2022-29200 Source advisory: OSV:GHSA-2VV3-56QG-G2CF...

acuity (=6.18.0), acuitypro (=6.18.0) +60 more potentially affected by CVE-2022-29200 via tensorflow (>=2.8.0 <=2.8.0rc1)

tensorflow PYPI version =2.8.0, =1.2.8, =1.0.43, =0.2.2, =0.0.1, =0.0.2, =0.2.8, =0.14.0, =0.1.3, =0.0.9, =0.2.27, =0.2.41 - complaintclassify =0.0.5 - conversational-sentence-encoder =0.0.6 and more Source cves: CVE-2022-29200 Source advisory: OSV:GHSA-2VV3-56QG-G2CF...

lsmmdma (>=0.0.4 <=0.1.7), tpu-tf2 (=1.0.0) potentially affected by CVE-2022-29200 via tensorflow-cpu (=2.7.0)

tensorflow-cpu PYPI version =2.7.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-cpu and may be impacted: - lsmmdma =0.0.4, =0.1.7 - tpu-tf2 =1.0.0 Source cves: CVE-2022-29200 Source advisory: OSV:GHSA-2VV3-56QG-G2CF...

animl (>=1.1.2 <=1.1.4), arekit (>=0.21.0 <=0.22.1) +176 more potentially affected by CVE-2022-29200 via tensorflow-gpu (>=1.10.1 <=2.6.3)

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-2022-29200 Source advisory: OSV:GHSA-2VV3-56QG-G2CF...