The remote openSUSE 15 host has packages installed that are affected by multiple vulnerabilities as referenced in the openSUSE-SU-2022:10014-1 advisory.

    Update to TF2 2.6.0 which fixes multiple CVEs (boo#1189423).

    - Introduction of bazel6.3 and basel-skylib1.0.3 as build       dependencies.
      The latter has been adapted to all a version in its package       name (if %set_ver_suffix is set to 1). This allows multiple       versions to exist for one product (not installed).
      NOTE: basel-skylib1.0.3 does not exist in oS:Factory:
      basel-skylib in oS:Factory - the base version - is 1.0.3.

Tenable has extracted the preceding description block directly from the SUSE security advisory.

Note that Nessus has not tested for these issues but has instead relied only on the application's self-reported version number.

リモートホストにインストールされている FreeBSD のバージョンは、テスト済みバージョンより前です。したがって、d82bcd2b-5cd6-421c-8179-b3ff0231029f のアドバイザリに記載されている脆弱性の影響を受けます。

  - TensorFlow は、機械学習用のエンドツーエンドのオープンソースプラットフォームです。影響を受けるバージョンでは、攻撃者が TFLite モデルを細工して、null ポインターのデリファレンスを発生させ、クラッシュやサービス拒否を引き起こす可能性があります。これは、「L2NormalizeReduceAxis」演算子の MLIR 最適化が原因です。[実装] (https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/compiler/mlir/lite/transforms/optimize.cc#L67-L70) は、ベクトルに要素があることをチェックせずに、無条件にベクトルへのイテレータへのポインターを逆参照します。GitHub コミット d6b57f461b39fd1aa8c1b870f1b974aac3554955 の問題にパッチを適用しました。この修正は TensorFlow 2.6.0 に含まれています。TensorFlow 2.5.1、TensorFlow 2.4.3、および TensorFlow 2.3.4 でもこのコミットを選択します。これらも影響を受けており、サポート対象になっています。(CVE-2021-37689)

Nessus はこの問題をテストしておらず、代わりにアプリケーションが自己報告するバージョン番号にのみ依存していることに注意してください。

The version of FreeBSD installed on the remote host is prior to tested version. It is, therefore, affected by a vulnerability as referenced in the d82bcd2b-5cd6-421c-8179-b3ff0231029f advisory.

  - TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker     can craft a TFLite model that would trigger a null pointer dereference, which would result in a crash and     denial of service. This is caused by the MLIR optimization of `L2NormalizeReduceAxis` operator. The [imple     mentation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorfl     ow/compiler/mlir/lite/transforms/optimize.cc#L67-L70) unconditionally dereferences a pointer to an     iterator to a vector without checking that the vector has elements. We have patched the issue in GitHub     commit d6b57f461b39fd1aa8c1b870f1b974aac3554955. 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. (CVE-2021-37689)

Note that Nessus has not tested for this issue but has instead relied only on the application's self-reported version number.

ID	Name	Product	Family	Published	Updated	Severity
162400	openSUSE 15 Security Update : tensorflow2 (openSUSE-SU-2022:10014-1)	Nessus	SuSE Local Security Checks	6/19/2022	7/10/2024	high
174298	FreeBSD : py-tflite -- サービス拒否の脆弱性 (d82bcd2b-5cd6-421c-8179-b3ff0231029f)	Nessus	FreeBSD Local Security Checks	4/14/2023	4/14/2023	medium
162400	openSUSE 15 セキュリティ更新 : tensorflow2 (openSUSE-SU-2022:10014-1)	Nessus	SuSE Local Security Checks	6/19/2022	7/10/2024	high
174298	FreeBSD : py-tflite -- denial of service vulnerability (d82bcd2b-5cd6-421c-8179-b3ff0231029f)	Nessus	FreeBSD Local Security Checks	4/14/2023	4/14/2023	medium

Detections

Analytics

Plugins Search

high

medium

high

medium