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| purl | pkg:maven/org.tensorflow/parentpom@1.2.0 |
| Next non-vulnerable version | None. |
| Latest non-vulnerable version | None. |
| Risk | 4.5 |
| Vulnerability | Summary | Fixed by |
|---|---|---|
|
VCID-7j19-q4yr-mbcs
Aliases: BIT-tensorflow-2020-26266 CVE-2020-26266 GHSA-qhxx-j73r-qpm2 PYSEC-2020-254 PYSEC-2020-297 PYSEC-2020-332 |
multiple issues | There are no reported fixed by versions. |
|
VCID-8ujy-p25s-gqdr
Aliases: BIT-tensorflow-2020-26268 CVE-2020-26268 GHSA-hhvc-g5hv-48c6 PYSEC-2020-255 PYSEC-2020-299 PYSEC-2020-334 |
multiple issues | There are no reported fixed by versions. |
|
VCID-9pz7-2xny-8qfp
Aliases: CVE-2018-8825 GHSA-frxx-2m33-6wcr PYSEC-2019-208 PYSEC-2019-226 PYSEC-2019-233 |
Google TensorFlow 1.7 and below is affected by: Buffer Overflow. The impact is: execute arbitrary code (local). |
Affected by 4 other vulnerabilities. Affected by 4 other vulnerabilities. |
|
VCID-ecm5-58n9-7qc6
Aliases: CVE-2018-10055 GHSA-q492-f7gr-27rp PYSEC-2019-204 PYSEC-2019-222 PYSEC-2019-229 |
Invalid memory access and/or a heap buffer overflow in the TensorFlow XLA compiler in Google TensorFlow before 1.7.1 could cause a crash or read from other parts of process memory via a crafted configuration file. |
Affected by 0 other vulnerabilities. Affected by 4 other vulnerabilities. |
|
VCID-fvnp-npvh-sycc
Aliases: CVE-2018-7575 GHSA-mw6v-crh8-8533 PYSEC-2019-205 PYSEC-2019-223 PYSEC-2019-230 |
Google TensorFlow 1.7.x and earlier is affected by a Buffer Overflow vulnerability. The type of exploitation is context-dependent. |
Affected by 4 other vulnerabilities. Affected by 4 other vulnerabilities. |
|
VCID-fzxy-yrjq-23c2
Aliases: CVE-2018-7576 GHSA-jfq2-rj7f-9gvf PYSEC-2019-206 PYSEC-2019-224 PYSEC-2019-231 |
Google TensorFlow 1.6.x and earlier is affected by: Null Pointer Dereference. The type of exploitation is: context-dependent. |
Affected by 9 other vulnerabilities. Affected by 8 other vulnerabilities. |
|
VCID-q3xx-8h4b-2kez
Aliases: BIT-tensorflow-2020-26271 CVE-2020-26271 GHSA-q263-fvxm-m5mw PYSEC-2020-257 PYSEC-2020-302 PYSEC-2020-337 |
multiple issues | There are no reported fixed by versions. |
|
VCID-rb8m-tvx8-xfdd
Aliases: CVE-2018-7577 GHSA-qx2v-j445-g354 PYSEC-2019-207 PYSEC-2019-225 PYSEC-2019-232 |
Memcpy parameter overlap in Google Snappy library 1.1.4, as used in Google TensorFlow before 1.7.1, could result in a crash or read from other parts of process memory. |
Affected by 4 other vulnerabilities. Affected by 4 other vulnerabilities. |
|
VCID-y251-x618-kqb1
Aliases: BIT-tensorflow-2020-26270 CVE-2020-26270 GHSA-m648-33qf-v3gp PYSEC-2020-256 PYSEC-2020-301 PYSEC-2020-336 |
multiple issues | There are no reported fixed by versions. |
|
VCID-y3ch-ejsn-3fgs
Aliases: CVE-2018-7574 GHSA-943p-xc6m-c6gr |
Out-of-bounds Read Google TensorFlow is affected by a Null Pointer Dereference vulnerability. |
Affected by 9 other vulnerabilities. Affected by 8 other vulnerabilities. |
|
VCID-ypq1-82mr-3fcx
Aliases: CVE-2018-21233 GHSA-h98h-8mxr-m8gx PYSEC-2020-253 PYSEC-2020-269 PYSEC-2020-304 |
TensorFlow before 1.7.0 has an integer overflow that causes an out-of-bounds read, possibly causing disclosure of the contents of process memory. This occurs in the DecodeBmp feature of the BMP decoder in core/kernels/decode_bmp_op.cc. |
Affected by 8 other vulnerabilities. |
| Vulnerability | Summary | Aliases |
|---|---|---|
| This package is not known to fix vulnerabilities. | ||