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PyPI

7,110 known vulnerabilities.

7,091 results · Feed

  • High 7.8

    Code injection in `saved_model_cli` in TensorFlow

    TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, TensorFlow's `saved_model_cli` tool is vulnerable to a code injection. This can be used to open a reverse shell. This code path was maintained for co…

  • Medium 5.5

    Incomplete validation in signal ops leads to crashes in TensorFlow

    TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the `tf.compat.v1.signal.rfft2d` and `tf.compat.v1.signal.rfft3d` lack input validation and under certain condition can result in crashes (due to `CH…

  • Medium 5.5

    Heap buffer overflow due to incorrect hash function in TensorFlow

    TensorFlow is an open source platform for machine learning. In version 2.8.0, the `TensorKey` hash function used total estimated `AllocatedBytes()`, which (a) is an estimate per tensor, and (b) is a very poor hash function for constants (e.g. `int32_t`). It a…

  • Medium 5.5

    Type confusion leading to `CHECK`-failure based denial of service in TensorFlow

    TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the macros that TensorFlow uses for writing assertions (e.g., `CHECK_LT`, `CHECK_GT`, etc.) have an incorrect logic when comparing `size_t` and `int`…

  • Medium 5.5

    Segfault in TensorFlow if `tf.histogram_fixed_width` is called with NaN values

    TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.histogram_fixed_width` is vulnerable to a crash when the values array contain `Not a Number` (`NaN`) elements. The implemen…

  • Medium 5.5

    Core dump when loading TFLite models with quantization in TensorFlow

    TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, certain TFLite models that were created using TFLite model converter would crash when loaded in the TFLite interpreter. The culprit is that during qu…

  • Medium 5.5

    Missing validation in `QuantizedConv2D` results in undefined behavior in TensorFlow

    TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.QuantizedConv2D` does not fully validate the input arguments. In this case, references get bound to `nullptr` for e…

  • Medium 5.5

    Denial of service in TensorFlow due to lack of validation in `tf.ragged.constant`

    TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.ragged.constant` does not fully validate the input arguments. This results in a denial of service by consuming all availabl…

  • Medium 5.5

    Integer overflow in `SpaceToBatchND` in TensorFlow

    TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.SpaceToBatchND` (in all backends such as XLA and handwritten kernels) is vulnerable to an integer overflow: The res…

  • Medium 5.5

    Missing validation causes denial of service in TensorFlow via `Conv3DBackpropFilterV2`

    TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.UnsortedSegmentJoin` does not fully validate the input arguments. This results in a `CHECK`-failure which can be us…

  • High 7.1

    Segfault and Out-of-bounds Write write due to incomplete validation in TensorFlow

    TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.EditDistance` has incomplete validation. Users can pass negative values to cause a segmentation fault based denial …

  • Medium 5.5

    Segfault due to missing support for quantized types in TensorFlow

    TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, there is a potential for segfault / denial of service in TensorFlow by calling `tf.compat.v1.*` ops which don't yet have support for quantized types,…

  • Medium 5.5

    Missing validation results in undefined behavior in `SparseTensorDenseAdd` in TensorFlow

    TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.SparseTensorDenseAdd` does not fully validate the input arguments. In this case, a reference gets bound to a `nullp…

  • Medium 5.5

    Undefined behavior when users supply invalid resource handles in TensorFlow

    TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, multiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid. In graph mode, it would have been imposs…

  • Medium 5.5

    Missing validation causes denial of service in TensorFlow via `StagePeek`

    TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.StagePeek` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trig…

  • Medium 5.5

    Missing validation causes denial of service in TensorFlow via `UnsortedSegmentJoin`

    TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.UnsortedSegmentJoin` does not fully validate the input arguments. This results in a `CHECK`-failure which can be us…

  • Medium 5.5

    Missing validation causes denial of service in TensorFlow via `Conv3DBackpropFilterV2`

    TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.Conv3DBackpropFilterV2` does not fully validate the input arguments. This results in a `CHECK`-failure which can be…

  • Medium 5.5

    Missing validation causes denial of service in TensorFlow via `SparseTensorToCSRSparseMatrix`

    TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.SparseTensorToCSRSparseMatrix` does not fully validate the input arguments. This results in a `CHECK`-failure which…

  • Medium 5.5

    Missing validation causes denial of service in TensorFlow via `LoadAndRemapMatrix`

    TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.LoadAndRemapMatrix does not fully validate the input arguments. This results in a `CHECK`-failure which can be used…

  • Medium 5.5

    Missing validation causes denial of service in TensorFlow via `LSTMBlockCell`

    TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.LSTMBlockCell` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to …

  • Medium 5.5

    Missing validation causes `TensorSummaryV2` in TensorFlow to crash

    TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.TensorSummaryV2` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used t…

  • Medium 5.5

    Missing validation causes denial of service via `DeleteSessionTensor` in TensorFlow

    TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.DeleteSessionTensor` does not fully validate the input arguments. This results in a `CHECK`-failure which can be us…

  • Medium 5.5

    Missing validation causes denial of service via `GetSessionTensor` in TensorFlow

    TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.GetSessionTensor` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used …

  • Medium 5.5

    Missing validation crashes `QuantizeAndDequantizeV4Grad` in TensorFlow

    TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.QuantizeAndDequantizeV4Grad` does not fully validate the input arguments. This results in a `CHECK`-failure which c…

  • Medium 5.3

    Regular Expression Denial of Service (ReDoS)

    All versions of package url-regex are vulnerable to Regular Expression Denial of Service (ReDoS) which can cause the CPU usage to crash.

  • High 7.8

    Buffer overflow in wasm3

    WASM3 v0.5.0 was discovered to contain a heap overflow via the component /wabt/bin/poc.wasm.

  • High 7.5

    Cross-site Scripting (XSS) - Generic in octoprint/octoprint

    Cross-site Scripting (XSS) - Generic in GitHub repository octoprint/octoprint prior to 1.8.0.

  • High 7.5

    Cross-site Scripting (XSS) - DOM in octoprint/octoprint

    Cross-site Scripting (XSS) - DOM in GitHub repository octoprint/octoprint prior to 1.8.0.

  • Critical 9.8

    SQL injection in calibreweb

    Calibre-Web before 0.6.18 allows user table SQL Injection.

  • Critical 9.8

    Code-execution backdoor in marcador

    marcador package in PyPI 0.1 through 0.13 included a code-execution backdoor.

  • High 8.1

    Out-of-bounds read in admesh

    ADMesh through 0.98.4 has a heap-based buffer over-read in stl_update_connects_remove_1 (called from stl_remove_degenerate) in connect.c in libadmesh.a.

  • Critical 9.1

    Tenant and Verifier might not use the same registrar data

    Keylime does not enforce that the agent registrar data is the same when the tenant uses it for validation of the EK and identity quote and the verifier for validating the integrity quote. This allows an attacker to use one AK, EK pair from a real TPM to pass …

  • Low 2.9

    Memory issue in playing videos

    TkVideoplayer is a simple library to play video files in tkinter. Uncontrolled memory consumption in versions of TKVideoplayer prior to 2.0.0 can theoretically lead to performance degradation. There are no known workarounds. This issue has been patched and us…

  • Critical 9.4
    CVE-2022-1592 Public exploit

    Server-Side Request Forgery in scout in clinical-genomics/scout

    Server-Side Request Forgery in scout in GitHub repository clinical-genomics/scout prior to v4.42. An attacker could make the application perform arbitrary requests to fishing steal cookie, request to private area, or lead to xss...

  • Critical 9.0

    Argument injection in python-libnmap

    In the python-libnmap package through 0.7.2 for Python, remote command execution can occur (if used in a client application that does not validate arguments). NOTE: the vendor believes it would be unrealistic for an application to call NmapProcess with argume…

  • Medium 6.8

    Path Traversal due to `send_file` call in clinical-genomics/scout

    Path Traversal due to `send_file` call in GitHub repository clinical-genomics/scout prior to 4.52.

  • Critical 9.1

    Improper Input Validation in httpx

    Encode OSS httpx < 0.23.0 is affected by improper input validation in `httpx.URL`, `httpx.Client` and some functions using `httpx.URL.copy_with`.

  • High 7.5

    Apache Doris hardcoded cryptography initialization

    Apache Doris, prior to 1.0.0, used a hardcoded key and IV to initialize the cipher used for ldap password, which may lead to information disclosure.

  • Medium 5.3

    Potential Captcha Validate Bypass in flask-session-captcha

    flask-session-captcha is a package which allows users to extend Flask by adding an image based captcha stored in a server side session. In versions prior to 1.2.1, he `captcha.validate()` function would return `None` if passed no value (e.g. by submitting an …

  • Medium —

    SVG with embedded scripts can lead to cross-site scripting attacks in xml2rfc

    xml2rfc allows `script` elements in SVG sources. In HTML output having these script elements can lead to XSS attacks. Sample XML snippet: ``` <artwork type="svg" src="data:image/svg+xml,%3Csvg viewBox='0 0 10 10' xmlns='http://www.w3.org/2000/svg'%3E%3Cscript…