{"document":{"aggregate_severity":{"namespace":"https://www.suse.com/support/security/rating/","text":"low"},"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-2020-26271","title":"Title"},{"category":"description","text":"In affected versions of TensorFlow under certain cases, loading a saved model can result in accessing uninitialized memory while building the computation graph. The MakeEdge function creates an edge between one output tensor of the src node (given by output_index) and the input slot of the dst node (given by input_index). This is only possible if the types of the tensors on both sides coincide, so the function begins by obtaining the corresponding DataType values and comparing these for equality. However, there is no check that the indices point to inside of the arrays they index into. Thus, this can result in accessing data out of bounds of the corresponding heap allocated arrays. In most scenarios, this can manifest as unitialized data access, but if the index points far away from the boundaries of the arrays this can be used to leak addresses from the library. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.","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-2020-26271","url":"https://www.suse.com/security/cve/CVE-2020-26271"},{"category":"external","summary":"SUSE Security Ratings","url":"https://www.suse.com/support/security/rating/"},{"category":"external","summary":"SUSE Bug 1179928 for CVE-2020-26271","url":"https://bugzilla.suse.com/1179928"},{"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-2020-26271","tracking":{"current_release_date":"2025-03-15T09:38:24Z","generator":{"date":"2023-02-15T03:53:11Z","engine":{"name":"cve-database.git:bin/generate-csaf-vex.pl","version":"1"}},"id":"CVE-2020-26271","initial_release_date":"2023-02-15T03:53:11Z","revision_history":[{"date":"2023-02-15T03:53:11Z","number":"2","summary":"Current version"},{"date":"2025-01-01T05:14:21Z","number":"3","summary":"Current version"},{"date":"2025-02-15T05:53:03Z","number":"4","summary":"Current version"},{"date":"2025-02-17T06:14:31Z","number":"5","summary":"Current version"},{"date":"2025-03-15T09:38:24Z","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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certain cases, loading a saved model can result in accessing uninitialized memory while building the computation graph. The MakeEdge function creates an edge between one output tensor of the src node (given by output_index) and the input slot of the dst node (given by input_index). This is only possible if the types of the tensors on both sides coincide, so the function begins by obtaining the corresponding DataType values and comparing these for equality. However, there is no check that the indices point to inside of the arrays they index into. Thus, this can result in accessing data out of bounds of the corresponding heap allocated arrays. In most scenarios, this can manifest as unitialized data access, but if the index points far away from the boundaries of the arrays this can be used to leak addresses from the library. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.","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 SP3:libtensorflow_framework2-2.6.0-bp153.2.3.1","SUSE Package Hub 15 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