CVSS2
Attack Vector
NETWORK
Attack Complexity
LOW
Authentication
NONE
Confidentiality Impact
NONE
Integrity Impact
NONE
Availability Impact
PARTIAL
AV:N/AC:L/Au:N/C:N/I:N/A:P
CVSS3
Attack Vector
NETWORK
Attack Complexity
HIGH
Privileges Required
NONE
User Interaction
NONE
Scope
CHANGED
Confidentiality Impact
HIGH
Integrity Impact
HIGH
Availability Impact
HIGH
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H
EPSS
Percentile
68.0%
Changing the TensorFlow’s SavedModel
protocol buffer and altering the name of required keys results in segfaults and data corruption while loading the model. This can cause a denial of service in products using tensorflow-serving
or other inference-as-a-service installments.
We have added fixes to this in f760f88b4267d981e13f4b302c437ae800445968 and fcfef195637c6e365577829c4d67681695956e7d (both going into TensorFlow 2.2.0 and 2.3.0 but not yet backported to earlier versions). However, this was not enough, as #41097 reports a different failure mode.
We have patched the issue in adf095206f25471e864a8e63a0f1caef53a0e3a6 and will release patch releases for all versions between 1.15 and 2.3. Patch releases for versions between 1.15 and 2.1 will also contain cherry-picks of f760f88b4267d981e13f4b302c437ae800445968 and fcfef195637c6e365577829c4d67681695956e7d.
We recommend users to upgrade to TensorFlow 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
This vulnerability has been reported by Shuaike Dong, from Alipay Tian Qian Security Lab && Lab for Applied Security Research, CUHK.
Vendor | Product | Version | CPE |
---|---|---|---|
* | tensorflow-gpu | 2.3.0 | cpe:2.3:a:*:tensorflow-gpu:2.3.0:*:*:*:*:*:*:* |
* | tensorflow-gpu | 2.2.0 | cpe:2.3:a:*:tensorflow-gpu:2.2.0:*:*:*:*:*:*:* |
* | tensorflow-gpu | * | cpe:2.3:a:*:tensorflow-gpu:*:*:*:*:*:*:*:* |
* | tensorflow-cpu | 2.3.0 | cpe:2.3:a:*:tensorflow-cpu:2.3.0:*:*:*:*:*:*:* |
* | tensorflow-cpu | 2.2.0 | cpe:2.3:a:*:tensorflow-cpu:2.2.0:*:*:*:*:*:*:* |
* | tensorflow-cpu | * | cpe:2.3:a:*:tensorflow-cpu:*:*:*:*:*:*:*:* |
tensorflow | tensorflow | 2.3.0 | cpe:2.3:a:tensorflow:tensorflow:2.3.0:*:*:*:*:*:*:* |
tensorflow | tensorflow | 2.2.0 | cpe:2.3:a:tensorflow:tensorflow:2.2.0:*:*:*:*:*:*:* |
tensorflow | tensorflow | * | cpe:2.3:a:tensorflow:tensorflow:*:*:*:*:*:*:*:* |
lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html
github.com/advisories/GHSA-w5gh-2wr2-pm6g
github.com/tensorflow/tensorflow/commit/adf095206f25471e864a8e63a0f1caef53a0e3a6
github.com/tensorflow/tensorflow/commit/f760f88b4267d981e13f4b302c437ae800445968
github.com/tensorflow/tensorflow/commit/fcfef195637c6e365577829c4d67681695956e7d
github.com/tensorflow/tensorflow/releases/tag/v2.3.1
github.com/tensorflow/tensorflow/security/advisories/GHSA-w5gh-2wr2-pm6g
nvd.nist.gov/vuln/detail/CVE-2020-15206
CVSS2
Attack Vector
NETWORK
Attack Complexity
LOW
Authentication
NONE
Confidentiality Impact
NONE
Integrity Impact
NONE
Availability Impact
PARTIAL
AV:N/AC:L/Au:N/C:N/I:N/A:P
CVSS3
Attack Vector
NETWORK
Attack Complexity
HIGH
Privileges Required
NONE
User Interaction
NONE
Scope
CHANGED
Confidentiality Impact
HIGH
Integrity Impact
HIGH
Availability Impact
HIGH
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H
EPSS
Percentile
68.0%