{"document":{"aggregate_severity":{"namespace":"https://www.suse.com/support/security/rating/","text":"important"},"category":"csaf_vex","csaf_version":"2.0","distribution":{"text":"Copyright 2024 SUSE LLC. All rights reserved.","tlp":{"label":"WHITE","url":"https://www.first.org/tlp/"}},"lang":"en","notes":[{"category":"summary","text":"SUSE CVE-2021-37646","title":"Title"},{"category":"description","text":"TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of `tf.raw_ops.StringNGrams` is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on this value. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/string_ngrams_op.cc#L184) calls `reserve` on a `tstring` with a value that sometimes can be negative if user supplies negative `ngram_widths`. The `reserve` method calls `TF_TString_Reserve` which has an `unsigned long` argument for the size of the buffer. Hence, the implicit conversion transforms the negative value to a large integer. We have patched the issue in GitHub commit c283e542a3f422420cfdb332414543b62fc4e4a5. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.","title":"Description of the CVE"},{"category":"legal_disclaimer","text":"CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).","title":"Terms of use"}],"publisher":{"category":"vendor","contact_details":"https://www.suse.com/support/security/contact/","name":"SUSE Product Security Team","namespace":"https://www.suse.com/"},"references":[{"category":"external","summary":"CVE-2021-37646","url":"https://www.suse.com/security/cve/CVE-2021-37646"},{"category":"external","summary":"SUSE Security Ratings","url":"https://www.suse.com/support/security/rating/"},{"category":"external","summary":"SUSE Bug 1189423 for CVE-2021-37646","url":"https://bugzilla.suse.com/1189423"},{"category":"external","summary":"Advisory link for openSUSE-SU-2022:10014-1","url":"https://lists.opensuse.org/archives/list/security-announce@lists.opensuse.org/thread/U25ZU2T5T4LOLSIYIMGC5PLU4PQQMJE5/"}],"title":"SUSE CVE CVE-2021-37646","tracking":{"current_release_date":"2025-03-15T08:47:30Z","generator":{"date":"2023-02-15T03:39:27Z","engine":{"name":"cve-database.git:bin/generate-csaf-vex.pl","version":"1"}},"id":"CVE-2021-37646","initial_release_date":"2023-02-15T03:39:27Z","revision_history":[{"date":"2023-02-15T03:39:27Z","number":"2","summary":"Current version"},{"date":"2025-01-01T04:19:14Z","number":"3","summary":"Current version"},{"date":"2025-02-15T04:53:54Z","number":"4","summary":"Current version"},{"date":"2025-02-17T05:16:33Z","number":"5","summary":"Current version"},{"date":"2025-03-15T08:47:30Z","number":"6","summary":"Current version"}],"status":"interim","version":"6"}},"product_tree":{"branches":[{"branches":[{"branches":[{"category":"product_name","name":"SUSE Package Hub 15 SP3","product":{"name":"SUSE 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In affected versions the implementation of `tf.raw_ops.StringNGrams` is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on this value. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/string_ngrams_op.cc#L184) calls `reserve` on a `tstring` with a value that sometimes can be negative if user supplies negative `ngram_widths`. The `reserve` method calls `TF_TString_Reserve` which has an `unsigned long` argument for the size of the buffer. Hence, the implicit conversion transforms the negative value to a large integer. We have patched the issue in GitHub commit c283e542a3f422420cfdb332414543b62fc4e4a5. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.","title":"CVE description"}],"product_status":{"recommended":["SUSE Package Hub 15 SP3:bazel-skylib1.0.3-source-1.0.3-bp153.2.1","SUSE Package Hub 15 SP3:bazel3.7-3.7.2-bp153.4.1","SUSE Package Hub 15 SP3:libiomp5-2.6.0-bp153.2.3.1","SUSE Package Hub 15 SP3:libiomp5-gnu-hpc-2.6.0-bp153.2.3.1","SUSE Package Hub 15 SP3:libiomp5-gnu-openmpi2-hpc-2.6.0-bp153.2.3.1","SUSE Package Hub 15 SP3:libtensorflow2-2.6.0-bp153.2.3.1","SUSE Package Hub 15 SP3:libtensorflow2-gnu-hpc-2.6.0-bp153.2.3.1","SUSE Package Hub 15 SP3:libtensorflow2-gnu-openmpi2-hpc-2.6.0-bp153.2.3.1","SUSE Package Hub 15 SP3:libtensorflow_cc2-2.6.0-bp153.2.3.1","SUSE Package Hub 15 SP3:libtensorflow_cc2-gnu-hpc-2.6.0-bp153.2.3.1","SUSE Package Hub 15 SP3:libtensorflow_cc2-gnu-openmpi2-hpc-2.6.0-bp153.2.3.1","SUSE Package Hub 15 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