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16 September 2022

Vulnerabilities first published on this day (UTC), newest first.

104 results · Clear filters · Feed

  • Medium 5.9

    Segfault in `QuantizeDownAndShrinkRange` in TensorFlow

    TensorFlow is an open source platform for machine learning. If `QuantizeDownAndShrinkRange` is given nonscalar inputs for `input_min` or `input_max`, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in…

  • Medium 5.9

    Segfault in `QuantizedBiasAdd` in TensorFlow

    TensorFlow is an open source platform for machine learning. If `QuantizedBiasAdd` is given `min_input`, `max_input`, `min_bias`, `max_bias` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have pat…

  • Medium 5.9

    Segfault in `QuantizedMatMul` in TensorFlow

    TensorFlow is an open source platform for machine learning. If `QuantizedMatMul` is given nonscalar input for: `min_a`, `max_a`, `min_b`, or `max_b` It gives a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHu…

  • Medium 5.4

    Craft CMS vulnerable to Cross-site Scripting via entry revisions and drafts

    Craft CMS 4.2.0.1 is vulnerable to Cross Site Scripting (XSS) via Drafts.

  • Medium 5.9

    `CHECK` fail in `FakeQuantWithMinMaxVars` in TensorFlow

    TensorFlow is an open source platform for machine learning. If `FakeQuantWithMinMaxVars` is given `min` or `max` tensors of a nonzero rank, it results in a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHu…

  • Medium 5.9

    `CHECK` fail in `Conv2DBackpropInput` in TensorFlow

    TensorFlow is an open source platform for machine learning. The implementation of `Conv2DBackpropInput` requires `input_sizes` to be 4-dimensional. Otherwise, it gives a `CHECK` failure which can be used to trigger a denial of service attack. We have patched …

  • Medium 5.9

    Segfault in `QuantizedInstanceNorm` in TensorFlow

    TensorFlow is an open source platform for machine learning. If `QuantizedInstanceNorm` is given `x_min` or `x_max` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub …

  • Medium 5.9

    `CHECK` fail in `AvgPoolGrad` in TensorFlow

    TensorFlow is an open source platform for machine learning. The implementation of `AvgPoolGrad` does not fully validate the input `orig_input_shape`. This results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched th…

  • Medium 5.9

    Segfault in `QuantizedAvgPool` in TensorFlow

    TensorFlow is an open source platform for machine learning. If `QuantizedAvgPool` is given `min_input` or `max_input` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitH…

  • Medium 5.9

    Segfault in `QuantizedAdd` in TensorFlow

    TensorFlow is an open source platform for machine learning. If `QuantizedAdd` is given `min_input` or `max_input` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub c…

  • Medium 5.4

    Craft CMS vulnerable to stored Cross-site Scripting via /admin/settings/fields page

    Craft CMS 4.2.0.1 is vulnerable to stored a cross-site scripting (XSS) via /admin/settings/fields page.

  • Medium 5.9

    Segfault in `BlockLSTMGradV2` in TensorFlow

    TensorFlow is an open source platform for machine learning. The implementation of `BlockLSTMGradV2` does not fully validate its inputs. This results in a a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub co…

  • Medium 5.9

    Segfault in `LowerBound` and `UpperBound` in TensorFlow

    TensorFlow is an open source platform for machine learning. If `LowerBound` or `UpperBound` is given an empty`sorted_inputs` input, it results in a `nullptr` dereference, leading to a segfault that can be used to trigger a denial of service attack. We have pa…

  • Medium 4.3

    WordPress Sucuri Security plugin <= 1.8.33 - Cross-Site Request Forgery (CSRF) vulnerability

    Cross-Site Request Forgery (CSRF) vulnerability in Sucuri Security plugin <= 1.8.33 at WordPress leading to Event log entry creation.

  • Medium 6.2

    Honeywell SoftMaster Incorrect Permission Assignment for Critical Resource

    A local unprivileged attacker may escalate to administrator privileges in Honeywell SoftMaster version 4.51, due to insecure permission assignment.

  • Medium 5.9

    `CHECK` failures in `FractionalAvgPoolGrad` in TensorFlow

    TensorFlow is an open source platform for machine learning. The implementation of `FractionalAvgPoolGrad` does not fully validate the input `orig_input_tensor_shape`. This results in an overflow that results in a `CHECK` failure which can be used to trigger a…

  • Medium 5.9

    `CHECK` failure in `TensorListReserve` in TensorFlow

    TensorFlow is an open source platform for machine learning. In `core/kernels/list_kernels.cc's TensorListReserve`, `num_elements` is assumed to be a tensor of size 1. When a `num_elements` of more than 1 element is provided, then `tf.raw_ops.TensorListReserve…

  • Medium 5.9

    `CHECK` failures in `AvgPool3DGrad` in TensorFlow

    TensorFlow is an open source platform for machine learning. The implementation of `AvgPool3DGradOp` does not fully validate the input `orig_input_shape`. This results in an overflow that results in a `CHECK` failure which can be used to trigger a denial of se…

  • Medium 5.9

    `CHECK` failures in `UnbatchGradOp` in TensorFlow

    TensorFlow is an open source platform for machine learning. The `UnbatchGradOp` function takes an argument `id` that is assumed to be a scalar. A nonscalar `id` can trigger a `CHECK` failure and crash the program. It also requires its argument `batch_index` t…

  • Medium 5.9

    Int overflow in `RaggedRangeOp` in Tensoflow

    TensorFlow is an open source platform for machine learning. The `RaggedRangOp` function takes an argument `limits` that is eventually used to construct a `TensorShape` as an `int64`. If `limits` is a very large float, it can overflow when converted to an `int…

  • Medium 5.9

    `CHECK` failure in `AvgPoolOp` in Tensorflow

    TensorFlow is an open source platform for machine learning. The `AvgPoolOp` function takes an argument `ksize` that must be positive but is not checked. A negative `ksize` can trigger a `CHECK` failure and crash the program. We have patched the issue in GitHu…

  • Medium 5.9

    `CHECK` failure in `SobolSample` via missing validation in TensorFlow

    TensorFlow is an open source platform for machine learning. The implementation of SobolSampleOp is vulnerable to a denial of service via CHECK-failure (assertion failure) caused by assuming `input(0)`, `input(1)`, and `input(2)` to be scalar. This issue has b…

  • Medium 5.9

    `CHECK` failure in tf.reshape in Tensorflow

    TensorFlow is an open source platform for machine learning. The implementation of tf.reshape op in TensorFlow is vulnerable to a denial of service via CHECK-failure (assertion failure) caused by overflowing the number of elements in a tensor. This issue has b…

  • Medium 5.4

    AEM Reflected XSS Arbitrary code execution

    Adobe Experience Manager versions 6.5.13.0 (and earlier) is affected by a reflected Cross-Site Scripting (XSS) vulnerability. If an attacker is able to convince a victim to visit a URL referencing a vulnerable page, malicious JavaScript content may be execute…

  • Medium 5.4

    AEM Reflected XSS Arbitrary code execution

    Adobe Experience Manager versions 6.5.13.0 (and earlier) is affected by a reflected Cross-Site Scripting (XSS) vulnerability. If an attacker is able to convince a victim to visit a URL referencing a vulnerable page, malicious JavaScript content may be execute…

  • Medium 5.4

    AEM Reflected XSS Arbitrary code execution

    Adobe Experience Manager versions 6.5.13.0 (and earlier) is affected by a reflected Cross-Site Scripting (XSS) vulnerability. If an attacker is able to convince a victim to visit a URL referencing a vulnerable page, malicious JavaScript content may be execute…

  • Medium 5.4

    AEM Reflected XSS Arbitrary code execution

    Adobe Experience Manager versions 6.5.13.0 (and earlier) is affected by a reflected Cross-Site Scripting (XSS) vulnerability. If an attacker is able to convince a victim to visit a URL referencing a vulnerable page, malicious JavaScript content may be execute…

  • Medium 5.4

    AEM Reflected XSS Arbitrary code execution

    Adobe Experience Manager versions 6.5.13.0 (and earlier) is affected by a reflected Cross-Site Scripting (XSS) vulnerability. If an attacker is able to convince a victim to visit a URL referencing a vulnerable page, malicious JavaScript content may be execute…

  • Medium 5.4

    AEM Reflected XSS Arbitrary code execution

    Adobe Experience Manager versions 6.5.13.0 (and earlier) is affected by a reflected Cross-Site Scripting (XSS) vulnerability. If an attacker is able to convince a victim to visit a URL referencing a vulnerable page, malicious JavaScript content may be execute…

  • Medium 5.4

    AEM Reflected XSS Arbitrary code execution

    Adobe Experience Manager versions 6.5.13.0 (and earlier) is affected by a reflected Cross-Site Scripting (XSS) vulnerability. If an attacker is able to convince a victim to visit a URL referencing a vulnerable page, malicious JavaScript content may be execute…

  • Medium 5.4

    AEM Reflected XSS Arbitrary code execution

    Adobe Experience Manager versions 6.5.13.0 (and earlier) is affected by a reflected Cross-Site Scripting (XSS) vulnerability. If an attacker is able to convince a victim to visit a URL referencing a vulnerable page, malicious JavaScript content may be execute…

  • Medium 5.4

    AEM Reflected XSS Arbitrary code execution

    Adobe Experience Manager versions 6.5.13.0 (and earlier) is affected by a reflected Cross-Site Scripting (XSS) vulnerability. If an attacker is able to convince a victim to visit a URL referencing a vulnerable page, malicious JavaScript content may be execute…

  • Medium 5.3

    AEM Violation of Secure Design Principles Security feature bypass

    Adobe Experience Manager versions 6.5.13.0 (and earlier) is affected by a Violation of Secure Design Principles vulnerability that could lead to bypass the security feature of the encryption mechanism in the backend . An attacker could leverage this vulnerabi…

  • Medium 5.4

    AEM Reflected XSS Arbitrary code execution

    Adobe Experience Manager versions 6.5.13.0 (and earlier) is affected by a reflected Cross-Site Scripting (XSS) vulnerability. If an attacker is able to convince a victim to visit a URL referencing a vulnerable page, malicious JavaScript content may be execute…

  • Medium 5.5

    Adobe InDesign 2022 Out-of-Bound Read Memory leak

    Adobe InDesign versions 16.4.2 (and earlier) and 17.3 (and earlier) are affected by an out-of-bounds read vulnerability that could lead to disclosure of sensitive memory. An attacker could leverage this vulnerability to bypass mitigations such as ASLR. Exploi…

  • Medium 5.5

    Adobe InDesign 2022 Out-of-Bound Read Memory leak

    Adobe InDesign versions 16.4.2 (and earlier) and 17.3 (and earlier) are affected by an out-of-bounds read vulnerability that could lead to disclosure of sensitive memory. An attacker could leverage this vulnerability to bypass mitigations such as ASLR. Exploi…

  • Medium 5.5

    Adobe InDesign 2022 Out-of-Bound Read Memory leak

    Adobe InDesign versions 16.4.2 (and earlier) and 17.3 (and earlier) are affected by an out-of-bounds read vulnerability that could lead to disclosure of sensitive memory. An attacker could leverage this vulnerability to bypass mitigations such as ASLR. Exploi…

  • Medium 5.5

    Adobe InDesign 2022 Out-of-Bound Read Memory leak

    Adobe InDesign versions 16.4.2 (and earlier) and 17.3 (and earlier) are affected by an out-of-bounds read vulnerability that could lead to disclosure of sensitive memory. An attacker could leverage this vulnerability to bypass mitigations such as ASLR. Exploi…

  • Medium 5.5

    Adobe InDesign 2022 Out-of-Bound Read Memory leak

    Adobe InDesign versions 16.4.2 (and earlier) and 17.3 (and earlier) are affected by an out-of-bounds read vulnerability that could lead to disclosure of sensitive memory. An attacker could leverage this vulnerability to bypass mitigations such as ASLR. Exploi…

  • Medium 5.5

    Adobe InDesign 2022 Out-of-Bound Read Memory leak

    Adobe InDesign versions 16.4.2 (and earlier) and 17.3 (and earlier) are affected by an out-of-bounds read vulnerability that could lead to disclosure of sensitive memory. An attacker could leverage this vulnerability to bypass mitigations such as ASLR. Exploi…