Fix links in the TensorFlow Security Advisories

PiperOrigin-RevId: 198762795

7 files changed, 14 insertions, 14 deletions

diff --git a/tensorflow/security/advisory/tfsa-2018-001.md b/tensorflow/security/advisory/tfsa-2018-001.md
index e62757fb5f..bb97543a21 100644
--- a/tensorflow/security/advisory/tfsa-2018-001.md
+++ b/tensorflow/security/advisory/tfsa-2018-001.md
@@ -21,8 +21,8 @@ TensorFlow 1.3.0, 1.3.1, 1.4.0, 1.4.1, 1.5.0, 1.5.1, 1.6.0
 
 ### Mitigation
 
-We have patched the vulnerability in GitHub commits
-[https://github.com/tensorflow/tensorflow/commit/49f73c55d56edffebde4bca4a407ad69c1cae4333c55](49f73c55).
+We have patched the vulnerability in GitHub commit
+[49f73c55](https://github.com/tensorflow/tensorflow/commit/49f73c55d56edffebde4bca4a407ad69c1cae4333c55).
 If users are running TensorFlow in production or on untrusted data, they are
 encouraged to apply this patch.
 
diff --git a/tensorflow/security/advisory/tfsa-2018-002.md b/tensorflow/security/advisory/tfsa-2018-002.md
index baf3fb418e..fad7fdd40f 100644
--- a/tensorflow/security/advisory/tfsa-2018-002.md
+++ b/tensorflow/security/advisory/tfsa-2018-002.md
@@ -21,7 +21,7 @@ TensorFlow 1.0.0, 1.0.1, 1.1.0, 1.2.0, 1.2.1, 1.3.0, 1.3.1, 1 1.4.1, 1.5.0, 1.5.
 ### Mitigation
 
 We have patched the vulnerability in GitHub commit
-[https://github.com/tensorflow/tensorflow/commit/c48431588e7cf8aff61d4c299231e3e925144df8](c4843158).
+[c4843158](https://github.com/tensorflow/tensorflow/commit/c48431588e7cf8aff61d4c299231e3e925144df8).
 If users are running TensorFlow in production or on untrusted data, they are
 encouraged to apply this patch.
 
diff --git a/tensorflow/security/advisory/tfsa-2018-003.md b/tensorflow/security/advisory/tfsa-2018-003.md
index e20e358f29..747d37064c 100644
--- a/tensorflow/security/advisory/tfsa-2018-003.md
+++ b/tensorflow/security/advisory/tfsa-2018-003.md
@@ -35,8 +35,8 @@ TensorFlow 1.5.0, 1.5.1, 1.6.0, 1.7.0
 
 ### Mitigation
 
-We have patched the vulnerability in GitHub commits [https://github.com/tensorflow/tensorflow/commit/41335abb46f80ca644b5738550daef6136ba5476](41335abb) and
-[https://github.com/tensorflow/tensorflow/commit/41335abb46f80ca644b5738550daef6136ba5476](41335abb) and
+We have patched the vulnerability in GitHub commits [41335abb](https://github.com/tensorflow/tensorflow/commit/41335abb46f80ca644b5738550daef6136ba5476) and
+[8badd11d](https://github.com/tensorflow/tensorflow/commit/8badd11d875a826bd318ed439909d5c47a7fb811).
 If users are running the TensorFlow TFLite TOCO compiler in production or on
 untrusted data, they are encouraged to apply this patch.
 
diff --git a/tensorflow/security/advisory/tfsa-2018-004.md b/tensorflow/security/advisory/tfsa-2018-004.md
index d172247288..3af28defa1 100644
--- a/tensorflow/security/advisory/tfsa-2018-004.md
+++ b/tensorflow/security/advisory/tfsa-2018-004.md
@@ -22,7 +22,7 @@ TensorFlow 1.0.0, 1.0.1, 1.1.0, 1.2.0, 1.2.1, 1.3.0, 1.3.1, 1.4.0, 1.4.1, 1.5.0,
 ### Mitigation
 
 We have patched the vulnerability in GitHub commit
-[https://github.com/tensorflow/tensorflow/commit/d107fee1e4a9a4462f01564798d345802acc2aef](d107fee1).
+[d107fee1](https://github.com/tensorflow/tensorflow/commit/d107fee1e4a9a4462f01564798d345802acc2aef).
 If users are running TensorFlow on untrusted meta checkpoints, such as those
 downloaded from the Internet, in production or on untrusted data, they are
 encouraged to apply this patch.
diff --git a/tensorflow/security/advisory/tfsa-2018-005.md b/tensorflow/security/advisory/tfsa-2018-005.md
index 1c91567db5..c0f339fd97 100644
--- a/tensorflow/security/advisory/tfsa-2018-005.md
+++ b/tensorflow/security/advisory/tfsa-2018-005.md
@@ -22,7 +22,7 @@ TensorFlow 1.1.0, 1.2.0, 1.2.1, 1.3.0, 1.3.1, 1.4.0, 1.4.1, 1.5.0, 1.5.1, 1.6.0,
 ### Mitigation
 
 We have patched the vulnerability in GitHub commit
-[https://github.com/tensorflow/tensorflow/commit/dfa9921e6343727b05f42f8d4a918b19528ff994](dfa9921e) 
+[dfa9921e](https://github.com/tensorflow/tensorflow/commit/dfa9921e6343727b05f42f8d4a918b19528ff994)
 by upgrading the version of the snappy library used by TensorFlow to v1.1.7.
 
 If users are loading untrusted checkpoints in TensorFlow, we encourage users to
diff --git a/tensorflow/security/advisory/tfsa-2018-006.md b/tensorflow/security/advisory/tfsa-2018-006.md
index a1d1a9f3d1..17f514d8d2 100644
--- a/tensorflow/security/advisory/tfsa-2018-006.md
+++ b/tensorflow/security/advisory/tfsa-2018-006.md
@@ -21,7 +21,7 @@ TensorFlow 1.1.0, 1.2.0, 1.2.1, 1.3.0, 1.3.1, 1.4.0, 1.4.1, 1.5.0, 1.5.1, 1.6.0,
 ### Mitigation
 
 We have patched the vulnerability in GitHub commit
-[https://github.com/tensorflow/tensorflow/commit/c89ab82a82585cdaa90bf4911980e9e845909e78](c89ab82a).
+[c89ab82a](https://github.com/tensorflow/tensorflow/commit/c89ab82a82585cdaa90bf4911980e9e845909e78).
 
 If users are loading untrusted configurations in TensorFlow, we encourage users
 to apply the patch to upgrade snappy or upgrade the version of TensorFlow they
diff --git a/tensorflow/security/index.md b/tensorflow/security/index.md
index c1f9f1da74..44f51ad07b 100644
--- a/tensorflow/security/index.md
+++ b/tensorflow/security/index.md
@@ -8,11 +8,11 @@ in [https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md](SECURITY.m
 
 | Advisory Number | Type               | Versions affected | Reported by           | Additional Information      |
 |-----------------|--------------------|:-----------------:|-----------------------|-----------------------------|
-| TFSA-2018-006   | Crafted Configuration File results in Invalid Memory Access | <= 1.7 | Blade Team of Tencent |  |
-| TFSA-2018-005   | Old Snappy Library Usage Resulting in Memcpy Parameter Overlap | <= 1.7 | Blade Team of Tencent |  |
-| TFSA-2018-004   | Checkpoint Meta File Out-of-Bounds Read | <= 1.7 | Blade Team of Tencent |  |
-| TFSA-2018-003   | TensorFlow Lite TOCO FlatBuffer Parsing Vulnerability | <= 1.7 | Blade Team of Tencent |  |
-| TFSA-2018-002   | GIF File Parsing Null Pointer Dereference Error | <= 1.5 | Blade Team of Tencent |  |
-| TFSA-2018-001   | BMP File Parser Out-of-bounds Read | <= 1.6 | Blade Team of Tencent |  |
+| [TFSA-2018-006](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2018-006.md)   | Crafted Configuration File results in Invalid Memory Access | <= 1.7 | Blade Team of Tencent |  |
+| [TFSA-2018-005](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2018-005.md)   | Old Snappy Library Usage Resulting in Memcpy Parameter Overlap | <= 1.7 | Blade Team of Tencent |  |
+| [TFSA-2018-004](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2018-004.md)   | Checkpoint Meta File Out-of-Bounds Read | <= 1.7 | Blade Team of Tencent |  |
+| [TFSA-2018-003](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2018-003.md)   | TensorFlow Lite TOCO FlatBuffer Parsing Vulnerability | <= 1.7 | Blade Team of Tencent |  |
+| [TFSA-2018-002](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2018-002.md)   | GIF File Parsing Null Pointer Dereference Error | <= 1.5 | Blade Team of Tencent |  |
+| [TFSA-2018-001](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2018-001.md)   | BMP File Parser Out-of-bounds Read | <= 1.6 | Blade Team of Tencent |  |
 | -               | Out Of Bounds Read |             <=1.4 | Blade Team of Tencent | [issue report](https://github.com/tensorflow/tensorflow/issues/14959) |