{"kind": "product", "path": "vulns/pypi/tensorflow-gpu", "name": "tensorflow-gpu", "product": "tensorflow-gpu", "ecosystem": "PyPI", "items": [{"id": "CVE-2023-33976", "noindex": false, "published": "2024-07-30T19:27:14.532Z", "modified": "2024-08-02T15:54:14.208Z", "cvss": 7.5, "cvss_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "severity": "high", "epss": 0.00432, "kev": false, "exploits": [], "stacks": [{"name": "python", "path": "vulns/stack/python", "slug": "python"}], "path": "vulns/cve-2023-33976", "title": "TensorFlow segfault in array_ops.upper_bound", "description": "TensorFlow is an end-to-end open source platform for machine learning. `array_ops.upper_bound` causes a segfault when not given a rank 2 tensor. The fix will be included in TensorFlow 2.13 and will also cherrypick this commit on TensorFlow 2.12.", "references": ["https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gjh7-xx4r-x345", "https://github.com/tensorflow/tensorflow/commit/6fa05df43b00038b048f4f0e51ef522da6532fec", "https://github.com/tensorflow/tensorflow/commit/915884fdf5df34aaedd00fc6ace33a2cfdefa586"], "fixes": ["2.12.1"], "products": [{"name": "tensorflow-gpu", "path": "vulns/pypi/tensorflow-gpu", "ecosystem": "PyPI"}]}, {"id": "CVE-2023-25660", "noindex": false, "published": "2023-03-24T23:44:30.233Z", "modified": "2025-02-19T20:30:18.395Z", "cvss": 7.5, "cvss_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "severity": "high", "epss": 0.00394, "kev": false, "exploits": [], "stacks": [{"name": "python", "path": "vulns/stack/python", "slug": "python"}], "path": "vulns/cve-2023-25660", "title": "TensorFlow vulnerable to seg fault in `tf.raw_ops.Print`", "description": "TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, when the parameter `summarize` of `tf.raw_ops.Print` is zero, the new method `SummarizeArray<bool>` will reference to a nullptr, leading to a seg fault. A fix is included in TensorFlow version 2.12 and version 2.11.1.\n", "references": ["https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qjqc-vqcf-5qvj", "https://github.com/tensorflow/tensorflow/commit/6d423b8bcc9aa9f5554dc988c1c16d038b508df1", "https://nvd.nist.gov/vuln/detail/CVE-2023-25660"], "fixes": ["2.11.1"], "products": [{"name": "tensorflow-gpu", "path": "vulns/pypi/tensorflow-gpu", "ecosystem": "PyPI"}]}, {"id": "CVE-2023-25659", "noindex": false, "published": "2023-03-24T23:43:26.319Z", "modified": "2025-02-19T20:34:37.363Z", "cvss": 7.5, "cvss_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "severity": "high", "epss": 0.00394, "kev": false, "exploits": [], "stacks": [{"name": "python", "path": "vulns/stack/python", "slug": "python"}], "path": "vulns/cve-2023-25659", "title": "TensorFlow vulnerable to Out-of-Bounds Read in DynamicStitch", "description": "TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, if the parameter `indices` for `DynamicStitch` does not match the shape of the parameter `data`, it can trigger an stack OOB read. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.\n", "references": ["https://github.com/tensorflow/tensorflow/security/advisories/GHSA-93vr-9q9m-pj8p", "https://github.com/tensorflow/tensorflow/commit/ee004b18b976eeb5a758020af8880236cd707d05", "https://nvd.nist.gov/vuln/detail/CVE-2023-25659"], "fixes": ["2.11.1"], "products": [{"name": "tensorflow-gpu", "path": "vulns/pypi/tensorflow-gpu", "ecosystem": "PyPI"}]}, {"id": "CVE-2023-25658", "noindex": false, "published": "2023-03-24T23:42:46.482Z", "modified": "2025-02-19T20:13:29.872Z", "cvss": 7.5, "cvss_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "severity": "high", "epss": 0.00387, "kev": false, "exploits": [], "stacks": [{"name": "python", "path": "vulns/stack/python", "slug": "python"}], "path": "vulns/cve-2023-25658", "title": "TensorFlow vulnerable to Out-of-Bounds Read in GRUBlockCellGrad", "description": "TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, an out of bounds read is in GRUBlockCellGrad. A fix is included in TensorFlow 2.12.0 and 2.11.1.\n", "references": ["https://github.com/tensorflow/tensorflow/security/advisories/GHSA-68v3-g9cm-rmm6", "https://github.com/tensorflow/tensorflow/commit/ff459137c2716a2a60f7d441b855fcb466d778cb", "https://nvd.nist.gov/vuln/detail/CVE-2023-25658"], "fixes": ["2.11.1"], "products": [{"name": "tensorflow-gpu", "path": "vulns/pypi/tensorflow-gpu", "ecosystem": "PyPI"}]}, {"id": "CVE-2023-25662", "noindex": false, "published": "2023-03-24T23:41:15.425Z", "modified": "2025-02-19T20:37:37.902Z", "cvss": 7.5, "cvss_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "severity": "high", "epss": 0.00394, "kev": false, "exploits": [], "stacks": [{"name": "python", "path": "vulns/stack/python", "slug": "python"}], "path": "vulns/cve-2023-25662", "title": "TensorFlow vulnerable to integer overflow in EditDistance", "description": "TensorFlow is an open source platform for machine learning. Versions prior to 2.12.0 and 2.11.1 are vulnerable to integer overflow in EditDistance. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.\n", "references": ["https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7jvm-xxmr-v5cw", "https://github.com/tensorflow/tensorflow/commit/08b8e18643d6dcde00890733b270ff8d9960c56c", "https://nvd.nist.gov/vuln/detail/CVE-2023-25662"], "fixes": ["2.11.1"], "products": [{"name": "tensorflow-gpu", "path": "vulns/pypi/tensorflow-gpu", "ecosystem": "PyPI"}]}, {"id": "CVE-2023-25663", "noindex": false, "published": "2023-03-24T23:40:59.362Z", "modified": "2025-02-19T20:38:24.943Z", "cvss": 7.5, "cvss_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "severity": "high", "epss": 0.00394, "kev": false, "exploits": [], "stacks": [{"name": "python", "path": "vulns/stack/python", "slug": "python"}], "path": "vulns/cve-2023-25663", "title": "TensorFlow has Null Pointer Error in TensorArrayConcatV2", "description": "TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, when `ctx->step_containter()` is a null ptr, the Lookup function will be executed with a null pointer. A fix is included in TensorFlow 2.12.0 and 2.11.1.", "references": ["https://github.com/tensorflow/tensorflow/security/advisories/GHSA-64jg-wjww-7c5w", "https://github.com/tensorflow/tensorflow/commit/239139d2ae6a81ae9ba499ad78b56d9b2931538a", "https://nvd.nist.gov/vuln/detail/CVE-2023-25663"], "fixes": ["2.11.1"], "products": [{"name": "tensorflow-gpu", "path": "vulns/pypi/tensorflow-gpu", "ecosystem": "PyPI"}]}, {"id": "CVE-2023-25667", "noindex": false, "published": "2023-03-24T23:40:20.893Z", "modified": "2025-02-19T20:39:52.657Z", "cvss": 6.5, "cvss_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H", "severity": "medium", "epss": 0.00308, "kev": false, "exploits": [], "stacks": [{"name": "python", "path": "vulns/stack/python", "slug": "python"}], "path": "vulns/cve-2023-25667", "title": "TensorFlow vulnerable to segfault when opening multiframe gif", "description": "TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, integer overflow occurs when `2^31 <= num_frames * height * width * channels < 2^32`, for example Full HD screencast of at least 346 frames. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.\n", "references": ["https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fqm2-gh8w-gr68", "https://github.com/tensorflow/tensorflow/commit/8dc723fcdd1a6127d6c970bd2ecb18b019a1a58d", "https://nvd.nist.gov/vuln/detail/CVE-2023-25667"], "fixes": ["2.11.1"], "products": [{"name": "tensorflow-gpu", "path": "vulns/pypi/tensorflow-gpu", "ecosystem": "PyPI"}]}, {"id": "CVE-2023-25666", "noindex": false, "published": "2023-03-24T23:39:55.696Z", "modified": "2025-02-19T20:40:39.166Z", "cvss": 7.5, "cvss_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "severity": "high", "epss": 0.00387, "kev": false, "exploits": [], "stacks": [{"name": "python", "path": "vulns/stack/python", "slug": "python"}], "path": "vulns/cve-2023-25666", "title": "TensorFlow has Floating Point Exception in AudioSpectrogram ", "description": "TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, there is a floating point exception in AudioSpectrogram. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.", "references": ["https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f637-vh3r-vfh2", "https://github.com/tensorflow/tensorflow/commit/d0d4e779da0d0f56499c6fa5ba09f0a576cc6b14", "https://nvd.nist.gov/vuln/detail/CVE-2023-25666"], "fixes": ["2.11.1"], "products": [{"name": "tensorflow-gpu", "path": "vulns/pypi/tensorflow-gpu", "ecosystem": "PyPI"}]}, {"id": "CVE-2023-25665", "noindex": false, "published": "2023-03-24T23:39:26.921Z", "modified": "2025-02-19T20:31:10.311Z", "cvss": 7.5, "cvss_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "severity": "high", "epss": 0.00443, "kev": false, "exploits": [], "stacks": [{"name": "python", "path": "vulns/stack/python", "slug": "python"}], "path": "vulns/cve-2023-25665", "title": "TensorFlow has Null Pointer Error in SparseSparseMaximum", "description": "TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, when `SparseSparseMaximum` is given invalid sparse tensors as inputs, it can give a null pointer error. A fix is included in TensorFlow version 2.12 and version 2.11.1.", "references": ["https://github.com/tensorflow/tensorflow/security/advisories/GHSA-558h-mq8x-7q9g", "https://github.com/tensorflow/tensorflow/commit/5e0ecfb42f5f65629fd7a4edd6c4afe7ff0feb04", "https://nvd.nist.gov/vuln/detail/CVE-2023-25665"], "fixes": ["2.11.1"], "products": [{"name": "tensorflow-gpu", "path": "vulns/pypi/tensorflow-gpu", "ecosystem": "PyPI"}]}, {"id": "CVE-2023-25668", "noindex": false, "published": "2023-03-24T23:33:50.296Z", "modified": "2025-02-19T20:32:48.754Z", "cvss": 9.8, "cvss_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H", "severity": "critical", "epss": 0.00838, "kev": false, "exploits": [], "stacks": [{"name": "python", "path": "vulns/stack/python", "slug": "python"}], "path": "vulns/cve-2023-25668", "title": "TensorFlow vulnerable to heap out-of-buffer read in the QuantizeAndDequantize operation", "description": "TensorFlow is an open source platform for machine learning. Attackers using Tensorflow prior to 2.12.0 or 2.11.1 can access heap memory which is not in the control of user, leading to a crash or remote code execution. The fix will be included in TensorFlow version 2.12.0 and will also cherrypick this commit on TensorFlow version 2.11.1.", "references": ["https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gw97-ff7c-9v96", "https://github.com/tensorflow/tensorflow/commit/7b174a0f2e40ff3f3aa957aecddfd5aaae35eccb", "https://nvd.nist.gov/vuln/detail/CVE-2023-25668"], "fixes": ["2.11.1"], "products": [{"name": "tensorflow-gpu", "path": "vulns/pypi/tensorflow-gpu", "ecosystem": "PyPI"}]}, {"id": "CVE-2023-25669", "noindex": false, "published": "2023-03-24T23:32:57.394Z", "modified": "2025-02-19T20:33:36.588Z", "cvss": 7.5, "cvss_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "severity": "high", "epss": 0.00394, "kev": false, "exploits": [], "stacks": [{"name": "python", "path": "vulns/stack/python", "slug": "python"}], "path": "vulns/cve-2023-25669", "title": "TensorFlow has Floating Point Exception in AvgPoolGrad with XLA", "description": "TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, if the stride and window size are not positive for `tf.raw_ops.AvgPoolGrad`, it can give a floating point exception. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.\n", "references": ["https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rcf8-g8jv-vg6p", "https://github.com/tensorflow/tensorflow/commit/1295ae4dbb52fe06b19733b0257e2340d7b63b8d", "https://nvd.nist.gov/vuln/detail/CVE-2023-25669"], "fixes": ["2.11.1"], "products": [{"name": "tensorflow-gpu", "path": "vulns/pypi/tensorflow-gpu", "ecosystem": "PyPI"}]}, {"id": "CVE-2023-25670", "noindex": false, "published": "2023-03-24T23:32:12.780Z", "modified": "2025-02-19T20:41:24.650Z", "cvss": 7.5, "cvss_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "severity": "high", "epss": 0.00394, "kev": false, "exploits": [], "stacks": [{"name": "python", "path": "vulns/stack/python", "slug": "python"}], "path": "vulns/cve-2023-25670", "title": "TensorFlow has Null Pointer Error in QuantizedMatMulWithBiasAndDequantize", "description": "TensorFlow is an open source platform for machine learning. Versions prior to 2.12.0 and 2.11.1 have a null point error in QuantizedMatMulWithBiasAndDequantize with MKL enabled. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.\n", "references": ["https://github.com/tensorflow/tensorflow/security/advisories/GHSA-49rq-hwc3-x77w", "https://github.com/tensorflow/tensorflow/commit/8a47a39d9697969206d23a523c977238717e8727", "https://nvd.nist.gov/vuln/detail/CVE-2023-25670"], "fixes": ["2.11.1"], "products": [{"name": "tensorflow-gpu", "path": "vulns/pypi/tensorflow-gpu", "ecosystem": "PyPI"}]}, {"id": "CVE-2023-25672", "noindex": false, "published": "2023-03-24T23:31:05.995Z", "modified": "2025-02-19T20:14:18.905Z", "cvss": 7.5, "cvss_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "severity": "high", "epss": 0.00361, "kev": false, "exploits": [], "stacks": [{"name": "python", "path": "vulns/stack/python", "slug": "python"}], "path": "vulns/cve-2023-25672", "title": "TensorFlow has Null Pointer Error in LookupTableImportV2", "description": "TensorFlow is an open source platform for machine learning. The function `tf.raw_ops.LookupTableImportV2` cannot handle scalars in the `values` parameter and gives an NPE. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.\n", "references": ["https://github.com/tensorflow/tensorflow/security/advisories/GHSA-94mm-g2mv-8p7r", "https://github.com/tensorflow/tensorflow/commit/980b22536abcbbe1b4a5642fc940af33d8c19b69", "https://nvd.nist.gov/vuln/detail/CVE-2023-25672"], "fixes": ["2.11.1"], "products": [{"name": "tensorflow-gpu", "path": "vulns/pypi/tensorflow-gpu", "ecosystem": "PyPI"}]}, {"id": "CVE-2023-25673", "noindex": false, "published": "2023-03-24T23:30:41.556Z", "modified": "2025-02-19T20:15:52.572Z", "cvss": 7.5, "cvss_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "severity": "high", "epss": 0.00394, "kev": false, "exploits": [], "stacks": [{"name": "python", "path": "vulns/stack/python", "slug": "python"}], "path": "vulns/cve-2023-25673", "title": "TensorFlow has Floating Point Exception in TensorListSplit with XLA ", "description": "TensorFlow is an open source platform for machine learning. Versions prior to 2.12.0 and 2.11.1 have a Floating Point Exception in TensorListSplit with XLA. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.\n", "references": ["https://github.com/tensorflow/tensorflow/security/advisories/GHSA-647v-r7qq-24fh", "https://github.com/tensorflow/tensorflow/commit/728113a3be690facad6ce436660a0bc1858017fa", "https://nvd.nist.gov/vuln/detail/CVE-2023-25673"], "fixes": ["2.11.1"], "products": [{"name": "tensorflow-gpu", "path": "vulns/pypi/tensorflow-gpu", "ecosystem": "PyPI"}]}, {"id": "CVE-2023-25674", "noindex": false, "published": "2023-03-24T23:13:05.753Z", "modified": "2025-02-19T20:16:15.143Z", "cvss": 7.5, "cvss_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "severity": "high", "epss": 0.00394, "kev": false, "exploits": [], "stacks": [{"name": "python", "path": "vulns/stack/python", "slug": "python"}], "path": "vulns/cve-2023-25674", "title": "TensorFlow has Null Pointer Error in RandomShuffle with XLA enable", "description": "TensorFlow is an open source machine learning platform. Versions prior to 2.12.0 and 2.11.1 have a null pointer error in RandomShuffle with XLA enabled. A fix is included in TensorFlow 2.12.0 and 2.11.1.", "references": ["https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gf97-q72m-7579", "https://github.com/tensorflow/tensorflow/commit/728113a3be690facad6ce436660a0bc1858017fa", "https://nvd.nist.gov/vuln/detail/CVE-2023-25674"], "fixes": ["2.11.1"], "products": [{"name": "tensorflow-gpu", "path": "vulns/pypi/tensorflow-gpu", "ecosystem": "PyPI"}]}, {"id": "CVE-2023-25675", "noindex": false, "published": "2023-03-24T23:11:30.782Z", "modified": "2025-02-19T20:23:37.641Z", "cvss": 7.5, "cvss_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "severity": "high", "epss": 0.00394, "kev": false, "exploits": [], "stacks": [{"name": "python", "path": "vulns/stack/python", "slug": "python"}], "path": "vulns/cve-2023-25675", "title": "TensorFlow has Segfault in Bincount with XLA", "description": "TensorFlow is an open source machine learning platform. When running versions prior to 2.12.0 and 2.11.1 with XLA, `tf.raw_ops.Bincount` segfaults when given a parameter `weights` that is neither the same shape as parameter `arr` nor a length-0 tensor. A fix is included in TensorFlow 2.12.0 and 2.11.1.", "references": ["https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7x4v-9gxg-9hwj", "https://github.com/tensorflow/tensorflow/commit/8ae76cf085f4be26295d2ecf2081e759e04b8acf", "https://nvd.nist.gov/vuln/detail/CVE-2023-25675"], "fixes": ["2.11.1"], "products": [{"name": "tensorflow-gpu", "path": "vulns/pypi/tensorflow-gpu", "ecosystem": "PyPI"}]}, {"id": "CVE-2023-25676", "noindex": false, "published": "2023-03-24T23:10:30.431Z", "modified": "2025-02-19T20:43:21.228Z", "cvss": 7.5, "cvss_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "severity": "high", "epss": 0.00394, "kev": false, "exploits": [], "stacks": [{"name": "python", "path": "vulns/stack/python", "slug": "python"}], "path": "vulns/cve-2023-25676", "title": "TensorFlow has null dereference on ParallelConcat with XLA", "description": "TensorFlow is an open source machine learning platform. When running versions prior to 2.12.0 and 2.11.1 with XLA, `tf.raw_ops.ParallelConcat` segfaults with a nullptr dereference when given a parameter `shape` with rank that is not greater than zero. A fix is available in TensorFlow 2.12.0 and 2.11.1.", "references": ["https://github.com/tensorflow/tensorflow/security/advisories/GHSA-6wfh-89q8-44jq", "https://github.com/tensorflow/tensorflow/commit/da66bc6d5ff466aee084f9e7397980a24890cd15", "https://nvd.nist.gov/vuln/detail/CVE-2023-25676"], "fixes": ["2.11.1"], "products": [{"name": "tensorflow-gpu", "path": "vulns/pypi/tensorflow-gpu", "ecosystem": "PyPI"}]}, {"id": "CVE-2023-25801", "noindex": false, "published": "2023-03-24T23:08:50.251Z", "modified": "2025-02-19T20:44:31.150Z", "cvss": 8, "cvss_vector": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:L/I:H/A:H", "severity": "high", "epss": 0.0015, "kev": false, "exploits": [], "stacks": [{"name": "python", "path": "vulns/stack/python", "slug": "python"}], "path": "vulns/cve-2023-25801", "title": "TensorFlow has double free in Fractional(Max/Avg)Pool", "description": "TensorFlow is an open source machine learning platform. Prior to versions 2.12.0 and 2.11.1, `nn_ops.fractional_avg_pool_v2` and `nn_ops.fractional_max_pool_v2` require the first and fourth elements of their parameter `pooling_ratio` to be equal to 1.0, as pooling on batch and channel dimensions is not supported. A fix is included in TensorFlow 2.12.0 and 2.11.1.", "references": ["https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f49c-87jh-g47q", "https://github.com/tensorflow/tensorflow/commit/ee50d1e00f81f62a4517453f721c634bbb478307", "https://nvd.nist.gov/vuln/detail/CVE-2023-25801"], "fixes": ["2.11.1"], "products": [{"name": "tensorflow-gpu", "path": "vulns/pypi/tensorflow-gpu", "ecosystem": "PyPI"}]}, {"id": "CVE-2023-27579", "noindex": false, "published": "2023-03-24T23:05:09.206Z", "modified": "2025-02-19T20:45:08.642Z", "cvss": 7.5, "cvss_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "severity": "high", "epss": 0.00394, "kev": false, "exploits": [], "stacks": [{"name": "python", "path": "vulns/stack/python", "slug": "python"}], "path": "vulns/cve-2023-27579", "title": "TensorFlow has Floating Point Exception in TFLite in conv kernel", "description": "TensorFlow is an end-to-end open source platform for machine learning. Constructing a tflite model with a paramater `filter_input_channel` of less than 1 gives a FPE. This issue has been patched in version 2.12. TensorFlow will also cherrypick the fix commit on TensorFlow 2.11.1.\n", "references": ["https://github.com/tensorflow/tensorflow/security/advisories/GHSA-5w96-866f-6rm8", "https://github.com/tensorflow/tensorflow/commit/34f8368c535253f5c9cb3a303297743b62442aaa", "https://nvd.nist.gov/vuln/detail/CVE-2023-27579"], "fixes": ["2.11.1"], "products": [{"name": "tensorflow-gpu", "path": "vulns/pypi/tensorflow-gpu", "ecosystem": "PyPI"}]}, {"id": "CVE-2022-41910", "noindex": false, "published": "2022-12-06T00:00:00.000Z", "modified": "2025-04-23T16:32:26.257Z", "cvss": 4.8, "cvss_vector": "CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H", "severity": "medium", "epss": 0.00439, "kev": false, "exploits": [], "stacks": [{"name": "python", "path": "vulns/stack/python", "slug": "python"}], "path": "vulns/cve-2022-41910", "title": "Heap out of bounds read in `QuantizeAndDequantizeV2` in Tensorflow", "description": "TensorFlow is an open source platform for machine learning. The function MakeGrapplerFunctionItem takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered. We have patched the issue in GitHub commit a65411a1d69edfb16b25907ffb8f73556ce36bb7. The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.8.4, 2.9.3, and 2.10.1.", "references": ["https://github.com/tensorflow/tensorflow/security/advisories/GHSA-frqp-wp83-qggv", "https://github.com/tensorflow/tensorflow/commit/a65411a1d69edfb16b25907ffb8f73556ce36bb7", "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/grappler/utils/functions.cc#L221"], "fixes": ["2.10.1", "2.8.4", "2.9.3"], "products": [{"name": "tensorflow-gpu", "path": "vulns/pypi/tensorflow-gpu", "ecosystem": "PyPI"}, {"name": "tensorflow-gpu", "path": "vulns/pypi/tensorflow-gpu", "ecosystem": "PyPI"}, {"name": "tensorflow-gpu", "path": "vulns/pypi/tensorflow-gpu", "ecosystem": "PyPI"}, {"name": "tensorflow-gpu", "path": "vulns/pypi/tensorflow-gpu", "ecosystem": "PyPI"}]}], "total": 427, "unknown_count": 0, "release_unconfirmed": false, "page": 1, "pages": 22, "filtered": false, "noindex": false, "filters": {}, "page_size": 20, "products": [{"name": "tensorflow-gpu", "path": "vulns/pypi/tensorflow-gpu", "ecosystem": "PyPI"}], "stacks": [{"name": "system", "path": "vulns/stack/system", "slug": "system"}, {"name": "web", "path": "vulns/stack/web", "slug": "web"}, {"name": "php", "path": "vulns/stack/php", "slug": "php"}, {"name": "python", "path": "vulns/stack/python", "slug": "python"}, {"name": "node", "path": "vulns/stack/node", "slug": "node"}, {"name": "database", "path": "vulns/stack/database", "slug": "database"}, {"name": "containers", "path": "vulns/stack/containers", "slug": "containers"}, {"name": "network", "path": "vulns/stack/network", "slug": "network"}, {"name": "applications", "path": "vulns/stack/applications", "slug": "applications"}], "versions": ["2.12.0", "2.11.1", "2.11.0rc2", "2.11.0rc1", "2.11.0rc0", "2.11.0", "2.10.1", "2.10.0rc3", "2.10.0rc2", "2.10.0rc1", "2.10.0rc0", "2.10.0"], "stats": {"recent": 0, "kev": 0}, "lastmod": "2025-04-23T16:32:26.257Z", "early_advisories": [], "license": "You may freely use the PatchFirst selection and our additions (priorities, early warnings, texts, summaries and aggregates) for your own purposes, including internal business use. Resale, commercial distribution and bulk mirroring of this selection or these additions require a written agreement with the operator. Whenever you use or publish the selection or our additions, credit PatchFirst (https://patchfirst.dev/vulns/) with this link to the regional feed page. Original records from open sources remain subject to their respective licenses and terms. These conditions do not restrict your rights to the original data, which you can obtain directly from those sources.", "terms_url": "https://patchfirst.dev/vulns/#feed-terms", "attribution": {"name": "PatchFirst", "url": "https://patchfirst.dev/vulns/"}, "source_changes": "Records are selected, normalized and combined by PatchFirst; summaries and translations may be added. News is credited with a link to the original source in each entry.", "sources": [{"id": "cve", "name": "CVE List / CVE.org", "url": "https://www.cve.org/", "license": "CVE Terms of Use", "terms_url": "https://www.cve.org/Legal/TermsOfUse", "notice": "Copyright © 1999–2021, The MITRE Corporation. LICENSE Submissions : For all materials you submit to the Common Vulnerabilities and Exposures (CVE™), you hereby grant to The MITRE Corporation (MITRE) and all CVE Numbering Authorities (CNAs) a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable copyright license to reproduce, prepare derivative works of, publicly display, publicly perform, sublicense, and distribute such materials and derivative works. Unless required by applicable law or agreed to in writing, you provide such materials on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. CVE Usage : MITRE hereby grants you a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable copyright license to reproduce, prepare derivative works of, publicly display, publicly perform, sublicense, and distribute Common Vulnerabilities and Exposures (CVE™). Any copy you make for such purposes is authorized provided that you reproduce MITRE's copyright designation and this license in any such copy. DISCLAIMERS ALL DOCUMENTS AND THE INFORMATION CONTAINED THEREIN PROVIDED BY MITRE ARE PROVIDED ON AN \"AS IS\" BASIS AND THE CONTRIBUTOR, THE ORGANIZATION HE/SHE REPRESENTS OR IS SPONSORED BY (IF ANY), THE MITRE CORPORATION, ITS BOARD OF TRUSTEES, OFFICERS, AGENTS, AND EMPLOYEES, DISCLAIM ALL WARRANTIES, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTY THAT THE USE OF THE INFORMATION THEREIN WILL NOT INFRINGE ANY RIGHTS OR ANY IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE."}, {"id": "osv", "name": "OSV", "url": "https://osv.dev/", "terms_url": "https://google.github.io/osv.dev/data/", "terms": "Upstream licenses vary; see the source catalog."}, {"id": "kev", "name": "CISA KEV", "url": "https://www.cisa.gov/known-exploited-vulnerabilities-catalog", "license": "CC0-1.0", "terms_url": "https://github.com/cisagov/kev-data/blob/develop/LICENSE"}, {"id": "epss", "name": "FIRST EPSS", "url": "https://www.first.org/epss/", "terms_url": "https://www.first.org/epss/faq", "terms": "Free public scores; attribution requested (FIRST EPSS, scores generated by Empirical Security)."}, {"id": "github-advisory", "name": "GitHub Advisory Database", "url": "https://github.com/advisories", "license": "CC-BY-4.0", "terms_url": "https://github.com/github/advisory-database/blob/main/LICENSE.md"}, {"id": "exploitdb", "name": "Exploit-DB", "url": "https://www.exploit-db.com/", "license": "GPL-2.0", "terms_url": "https://gitlab.com/exploit-database/exploitdb/-/blob/main/LICENSE.md"}, {"id": "metasploit", "name": "Metasploit", "url": "https://github.com/rapid7/metasploit-framework", "license": "BSD-3-Clause", "terms_url": "https://github.com/rapid7/metasploit-framework/blob/master/LICENSE", "notice": "Copyright (c) 2006-2026, Rapid7, Inc.\nLicense: BSD-3-clause\n Redistribution and use in source and binary forms, with or without modification,\n are permitted provided that the following conditions are met:\n .\n * Redistributions of source code must retain the above copyright notice,\n this list of conditions and the following disclaimer.\n .\n * Redistributions in binary form must reproduce the above copyright notice,\n this list of conditions and the following disclaimer in the documentation\n and/or other materials provided with the distribution.\n .\n * Neither the name of Rapid7, Inc. nor the names of its contributors\n may be used to endorse or promote products derived from this software\n without specific prior written permission.\n .\n THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\" AND\n ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED\n WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE\n DISCLAIMED. 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