alirezaaminzadeh/cve-riskrank huggingface dataset:
CVE-2022-35987 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. `DenseBincount` assumes its input tensor `weights` to either have the same shape as its input tensor `input` or to be length-0. A different `weights` shape will trigger a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bf4c14353c2328636a18bfad1e151052c81d5f43. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-617
Affected vendors: google
Affected products: tensorflow
CVE-2022-35988 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. When `tf.linalg.matrix_rank` receives an empty input `a`, the GPU kernel gives a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit c55b476aa0e0bd4ee99d0f3ad18d9d706cd1260a. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-617
Affected vendors: google
Affected products: tensorflow
CVE-2022-35989 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. When `MaxPool` receives a window size input array `ksize` with dimensions greater than its input tensor `input`, the GPU kernel gives a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 32d7bd3defd134f21a4e344c8dfd40099aaf6b18. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-617
Affected vendors: google
Affected products: tensorflow
CVE-2022-3599 (published 2022-10-21)
LibTIFF 4.4.0 has an out-of-bounds read in writeSingleSection in tools/tiffcrop.c:7345, allowing attackers to cause a denial-of-service via a crafted tiff file. For users that compile libtiff from sources, the fix is available with commit e8131125.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H)
Weakness: CWE-125
Affected vendors: debian, libtiff, netapp
Affected products: active_iq_unified_manager, debian_linux, libtiff
CVE-2022-35990 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. When `tf.quantization.fake_quant_with_min_max_vars_per_channel_gradient` receives input `min` or `max` of rank other than 1, it gives a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit f3cf67ac5705f4f04721d15e485e192bb319feed. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range.There are no known workarounds for this issue.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-617
Affected vendors: google
Affected products: tensorflow
CVE-2022-35991 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. When `TensorListScatter` and `TensorListScatterV2` receive an `element_shape` of a rank greater than one, they give a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit bb03fdf4aae944ab2e4b35c7daa051068a8b7f61. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-617
Affected vendors: google
Affected products: tensorflow
CVE-2022-35992 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. When `TensorListFromTensor` receives an `element_shape` of a rank greater than one, it gives a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit 3db59a042a38f4338aa207922fa2f476e000a6ee. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-617
Affected vendors: google
Affected products: tensorflow
CVE-2022-35993 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. When `SetSize` receives an input `set_shape` that is not a 1D tensor, it gives a `CHECK` fails that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit cf70b79d2662c0d3c6af74583641e345fc939467. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-617
Affected vendors: google
Affected products: tensorflow
CVE-2022-35994 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. When `CollectiveGather` receives an scalar input `input`, it gives a `CHECK` fails that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit c1f491817dec39a26be3c574e86a88c30f3c4770. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-617
Affected vendors: google
Affected products: tensorflow
CVE-2022-35995 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. When `AudioSummaryV2` receives an input `sample_rate` with more than one element, it gives a `CHECK` fails that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bf6b45244992e2ee543c258e519489659c99fb7f. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-617
Affected vendors: google
Affected products: tensorflow
CVE-2022-35996 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. If `Conv2D` is given empty `input` and the `filter` and `padding` sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 611d80db29dd7b0cfb755772c69d60ae5bca05f9. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-369
Affected vendors: google
Affected products: tensorflow
CVE-2022-35997 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. If `tf.sparse.cross` receives an input `separator` that is not a scalar, it gives a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 83dcb4dbfa094e33db084e97c4d0531a559e0ebf. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-617
Affected vendors: google
Affected products: tensorflow
CVE-2022-35998 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. If `EmptyTensorList` receives an input `element_shape` with more than one dimension, it gives a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit c8ba76d48567aed347508e0552a257641931024d. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-617
Affected vendors: google
Affected products: tensorflow
CVE-2022-35999 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. When `Conv2DBackpropInput` receives empty `out_backprop` inputs (e.g. `[3, 1, 0, 1]`), the current CPU/GPU kernels `CHECK` fail (one with dnnl, the other with cudnn). This can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 27a65a43cf763897fecfa5cdb5cc653fc5dd0346. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-617
Affected vendors: google
Affected products: tensorflow
CVE-2022-3600 (published 2022-11-21)
The Easy Digital Downloads WordPress plugin before 3.1.0.2 does not validate data when its output in a CSV file, which could lead to CSV injection.
Severity: CRITICAL (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H)
Affected vendors: awesomemotive
Affected products: easy_digital_downloads
CVE-2022-36000 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. When `mlir::tfg::ConvertGenericFunctionToFunctionDef` is given empty function attributes, it gives a null dereference. We have patched the issue in GitHub commit aed36912609fc07229b4d0a7b44f3f48efc00fd0. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-476
Affected vendors: google
Affected products: tensorflow
CVE-2022-36001 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. When `DrawBoundingBoxes` receives an input `boxes` that is not of dtype `float`, it gives a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit da0d65cdc1270038e72157ba35bf74b85d9bda11. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-617
Affected vendors: google
Affected products: tensorflow
CVE-2022-36002 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. When `Unbatch` receives a nonscalar input `id`, it gives a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit 4419d10d576adefa36b0e0a9425d2569f7c0189f. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-617
Affected vendors: google
Affected products: tensorflow
CVE-2022-36003 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. When `RandomPoissonV2` receives large input shape and rates, it gives a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit 552bfced6ce4809db5f3ca305f60ff80dd40c5a3. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-617
Affected vendors: google
Affected products: tensorflow
CVE-2022-36004 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. When `tf.random.gamma` receives large input shape and rates, it gives a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit 552bfced6ce4809db5f3ca305f60ff80dd40c5a3. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-617
Affected vendors: google
Affected products: tensorflow
CVE-2022-36005 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. When `tf.quantization.fake_quant_with_min_max_vars_gradient` receives input `min` or `max` that is nonscalar, it gives a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit f3cf67ac5705f4f04721d15e485e192bb319feed. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-617
Affected vendors: google
Affected products: tensorflow
CVE-2022-36006 (published 2022-08-15)
Arvados is an open source platform for managing, processing, and sharing genomic and other large scientific and biomedical data. A remote code execution (RCE) vulnerability in the Arvados Workbench allows authenticated attackers to execute arbitrary code via specially crafted JSON payloads. This exists in all versions up to 2.4.1 and is fixed in 2.4.2. This vulnerability is specific to the Ruby on Rails Workbench application (“Workbench 1”). We do not believe any other Arvados components, including the TypesScript browser-based Workbench application (“Workbench 2”) or API Server, are vulnerable to this attack. For versions of Arvados earlier than 2.4.2: remove the Ruby-based "Workbench 1" app ("apt-get remove arvados-workbench") from your installation as a workaround.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H)
Weakness: CWE-94
Affected vendors: arvados
Affected products: arvados
CVE-2022-36007 (published 2022-08-15)
Venice is a Clojure inspired sandboxed Lisp dialect with excellent Java interoperability. A partial path traversal issue exists within the functions `load-file` and `load-resource`. These functions can be limited to load files from a list of load paths. Assuming Venice has been configured with the load paths: `[ "/Users/foo/resources" ]` When passing **relative** paths to these two vulnerable functions everything is fine: `(load-resource "test.png")` => loads the file "/Users/foo/resources/test.png" `(load-resource "../resources-alt/test.png")` => rejected, outside the load path When passing **absolute** paths to these two vulnerable functions Venice may return files outside the configured load paths: `(load-resource "/Users/foo/resources/test.png")` => loads the file "/Users/foo/resources/test.png" `(load-resource "/Users/foo/resources-alt/test.png")` => loads the file "/Users/foo/resources-alt/test.png" !!! The latter call suffers from the _Partial Path Traversal_ vulnerability. This issue’s scope is limited to absolute paths whose name prefix matches a load path. E.g. for a load-path `"/Users/foo/resources"`, the actor can cause loading a resource also from `"/Users/foo/resources-alt"`, but not from `"/Users/foo/images"`. Versions of Venice before and including v1.10.17 are affected by this issue. Upgrade to Venice >= 1.10.18, if you are on a version < 1.10.18. There are currently no known workarounds.
Severity: LOW (CVSS 3.1 vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N)
Weakness: CWE-22
Affected vendors: venice_project
Affected products: venice
CVE-2022-36008 (published 2022-08-19)
Frontier is Substrate's Ethereum compatibility layer. A security issue was discovered affecting parsing of the RPC result of the exit reason in case of EVM reversion. In release build, this would cause the exit reason being incorrectly parsed and returned by RPC. In debug build, this would cause an overflow panic. No action is needed unless you have a bridge node that needs to distinguish different reversion exit reasons and you used RPC for this. There are currently no known workarounds.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-190
Affected vendors: parity
Affected products: frontier
CVE-2022-36009 (published 2022-08-19)
gomatrixserverlib is a Go library for matrix protocol federation. Dendrite is a Matrix homeserver written in Go, an alternative to Synapse. The power level parsing within gomatrixserverlib was failing to parse the `"events_default"` key of the `m.room.power_levels` event, defaulting the event default power level to zero in all cases. Power levels are the matrix terminology for user access level. In rooms where the `"events_default"` power level had been changed, this could result in events either being incorrectly authorised or rejected by Dendrite servers. gomatrixserverlib contains a fix as of commit `723fd49` and Dendrite 0.9.3 has been updated accordingly. Matrix rooms where the `"events_default"` power level has not been changed from the default of zero are not vulnerable. Users are advised to upgrade. There are no known workarounds for this issue.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H)
Weakness: CWE-863
Affected vendors: matrix
Affected products: dendrite, gomatrixserverlib
CVE-2022-3601 (published 2022-11-28)
The Image Hover Effects Css3 WordPress plugin through 4.5 does not sanitise and escape some of its settings, which could allow high privilege users such as admin to perform Stored Cross-Site Scripting attacks even when the unfiltered_html capability is disallowed (for example in multisite setup).
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:H/UI:R/S:C/C:L/I:L/A:N)
Affected vendors: image_hover_effects_css3_project
Affected products: image_hover_effects_css3
CVE-2022-36010 (published 2022-08-15)
This library allows strings to be parsed as functions and stored as a specialized component, [`JsonFunctionValue`](https://github.com/oxyno-zeta/react-editable-json-tree/blob/09a0ca97835b0834ad054563e2fddc6f22bc5d8c/src/components/JsonFunctionValue.js). To do this, Javascript's [`eval`](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/eval) function is used to execute strings that begin with "function" as Javascript. This unfortunately could allow arbitrary code to be executed if it exists as a value within the JSON structure being displayed. Given that this component may often be used to display data from arbitrary, untrusted sources, this is extremely dangerous. One important note is that users who have defined a custom [`onSubmitValueParser`](https://github.com/oxyno-zeta/react-editable-json-tree/tree/09a0ca97835b0834ad054563e2fddc6f22bc5d8c#onsubmitvalueparser) callback prop on the [`JsonTree`](https://github.com/oxyno-zeta/react-editable-json-tree/blob/09a0ca97835b0834ad054563e2fddc6f22bc5d8c/src/JsonTree.js) component should be ***unaffected***. This vulnerability exists in the default `onSubmitValueParser` prop which calls [`parse`](https://github.com/oxyno-zeta/react-editable-json-tree/blob/master/src/utils/parse.js#L30). Prop is added to `JsonTree` called `allowFunctionEvaluation`. This prop will be set to `true` in v2.2.2, which allows upgrade without losing backwards-compatibility. In v2.2.2, we switched from using `eval` to using [`Function`](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Function) to construct anonymous functions. This is better than `eval` for the following reasons: - Arbitrary code should not be able to execute immediately, since the `Function` constructor explicitly *only creates* anonymous functions - Functions are created without local closures, so they only have access to the global scope If you use: - **Version `<2.2.2`**, you must upgrade as soon as possible. - **Version `^2.2.2`**, you must explicitly set `JsonTree`'s `allowFunctionEvaluation` prop to `false` to fully mitigate this vulnerability. - **Version `>=3.0.0`**, `allowFunctionEvaluation` is already set to `false` by default, so no further steps are necessary.
Severity: CRITICAL (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H)
Weakness: CWE-95
Affected vendors: react_editable_json_tree_project
Affected products: react_editable_json_tree
CVE-2022-36011 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. When `mlir::tfg::ConvertGenericFunctionToFunctionDef` is given empty function attributes, it gives a null dereference. We have patched the issue in GitHub commit 1cf45b831eeb0cab8655c9c7c5d06ec6f45fc41b. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-476
Affected vendors: google
Affected products: tensorflow
CVE-2022-36012 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. When `mlir::tfg::ConvertGenericFunctionToFunctionDef` is given empty function attributes, it crashes. We have patched the issue in GitHub commit ad069af92392efee1418c48ff561fd3070a03d7b. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-617
Affected vendors: google
Affected products: tensorflow
CVE-2022-36013 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. When `mlir::tfg::GraphDefImporter::ConvertNodeDef` tries to convert NodeDefs without an op name, it crashes. We have patched the issue in GitHub commit a0f0b9a21c9270930457095092f558fbad4c03e5. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-476
Affected vendors: google
Affected products: tensorflow
CVE-2022-36014 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. When `mlir::tfg::TFOp::nameAttr` receives null type list attributes, it crashes. We have patched the issue in GitHub commits 3a754740d5414e362512ee981eefba41561a63a6 and a0f0b9a21c9270930457095092f558fbad4c03e5. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-476
Affected vendors: google
Affected products: tensorflow
CVE-2022-36015 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. When `RangeSize` receives values that do not fit into an `int64_t`, it crashes. We have patched the issue in GitHub commit 37e64539cd29fcfb814c4451152a60f5d107b0f0. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-190
Affected vendors: google
Affected products: tensorflow
CVE-2022-36016 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. When `tensorflow::full_type::SubstituteFromAttrs` receives a `FullTypeDef& t` that is not exactly three args, it triggers a `CHECK`-fail instead of returning a status. We have patched the issue in GitHub commit 6104f0d4091c260ce9352f9155f7e9b725eab012. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-617
Affected vendors: google
Affected products: tensorflow
CVE-2022-36017 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. If `Requantize` is given `input_min`, `input_max`, `requested_output_min`, `requested_output_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 commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-20
Affected vendors: google
Affected products: tensorflow
CVE-2022-36018 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. If `RaggedTensorToVariant` is given a `rt_nested_splits` list that contains tensors of ranks other than one, it results in a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 88f93dfe691563baa4ae1e80ccde2d5c7a143821. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-617
Affected vendors: google
Affected products: tensorflow
CVE-2022-36019 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. If `FakeQuantWithMinMaxVarsPerChannel` is given `min` or `max` tensors of a rank other than one, it results in a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-617
Affected vendors: google
Affected products: tensorflow
CVE-2022-3602 (published 2022-11-01)
A buffer overrun can be triggered in X.509 certificate verification, specifically in name constraint checking. Note that this occurs after certificate chain signature verification and requires either a CA to have signed the malicious certificate or for the application to continue certificate verification despite failure to construct a path to a trusted issuer. An attacker can craft a malicious email address to overflow four attacker-controlled bytes on the stack. This buffer overflow could result in a crash (causing a denial of service) or potentially remote code execution. Many platforms implement stack overflow protections which would mitigate against the risk of remote code execution. The risk may be further mitigated based on stack layout for any given platform/compiler. Pre-announcements of CVE-2022-3602 described this issue as CRITICAL. Further analysis based on some of the mitigating factors described above have led this to be downgraded to HIGH. Users are still encouraged to upgrade to a new version as soon as possible. In a TLS client, this can be triggered by connecting to a malicious server. In a TLS server, this can be triggered if the server requests client authentication and a malicious client connects. Fixed in OpenSSL 3.0.7 (Affected 3.0.0,3.0.1,3.0.2,3.0.3,3.0.4,3.0.5,3.0.6).
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-787
Affected vendors: fedoraproject, netapp, nodejs, openssl
Affected products: clustered_data_ontap, fedora, node.js, openssl
CVE-2022-36020 (published 2022-09-13)
The typo3/html-sanitizer package is an HTML sanitizer, written in PHP, aiming to provide XSS-safe markup based on explicitly allowed tags, attributes and values. Due to a parsing issue in the upstream package `masterminds/html5`, malicious markup used in a sequence with special HTML comments cannot be filtered and sanitized. This allows for a bypass of the cross-site scripting mechanism of `typo3/html-sanitizer`. This issue has been addressed in versions 1.0.7 and 2.0.16 of the `typo3/html-sanitizer` package. Users are advised to upgrade. There are no known workarounds for this issue.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N)
Weakness: CWE-79
Affected vendors: typo3
Affected products: html_sanitizer
CVE-2022-36021 (published 2023-03-01)
Redis is an in-memory database that persists on disk. Authenticated users can use string matching commands (like `SCAN` or `KEYS`) with a specially crafted pattern to trigger a denial-of-service attack on Redis, causing it to hang and consume 100% CPU time. The problem is fixed in Redis versions 6.0.18, 6.2.11, 7.0.9.

Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-407
Affected vendors: redis
Affected products: redis
CVE-2022-36022 (published 2022-11-10)
Deeplearning4J is a suite of tools for deploying and training deep learning models using the JVM. Packages org.deeplearning4j:dl4j-examples and org.deeplearning4j:platform-tests through version 1.0.0-M2.1 may use some unclaimed S3 buckets in tests in examples. This is likely affect people who use some older NLP examples that reference an old S3 bucket. The problem has been patched. Users should upgrade to snapshots as Deeplearning4J plan to publish a release with the fix at a later date. As a workaround, download a word2vec google news vector from a new source using git lfs from here.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N)
Weakness: CWE-344
Affected vendors: eclipse
Affected products: deeplearning4j
CVE-2022-36023 (published 2022-08-18)
Hyperledger Fabric is an enterprise-grade permissioned distributed ledger framework for developing solutions and applications. If a gateway client application sends a malformed request to a gateway peer it may crash the peer node. Version 2.4.6 checks for the malformed gateway request and returns an error to the gateway client. There are no known workarounds, users must upgrade to version 2.4.6.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L)
Weakness: CWE-20
Affected vendors: hyperledger
Affected products: fabric
CVE-2022-36024 (published 2022-08-18)
py-cord is a an API wrapper for Discord written in Python. Bots creating using py-cord version 2.0.0 are vulnerable to remote shutdown if they are added to the server with the `application.commands` scope without the `bot` scope. Currently, it appears that all public bots that use slash commands are affected. This issue has been patched in version 2.0.1. There are currently no recommended workarounds - please upgrade to a patched version.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-284
Affected vendors: pycord_development
Affected products: pycord
CVE-2022-36025 (published 2022-09-24)
Besu is a Java-based Ethereum client. In versions newer than 22.1.3 and prior to 22.7.1, Besu is subject to an Incorrect Conversion between Numeric Types. An error in 32 bit signed and unsigned types in the calculation of available gas in the CALL operations (including DELEGATECALL) results in incorrect gas being passed into called contracts and incorrect gas being returned after call execution. Where the amount of gas makes a difference in the success or failure, or if the gas is a negative 64 bit value, the execution will result in a different state root than expected, resulting in a consensus failure in networks with multiple EVM implementations. In networks with a single EVM implementation this can be used to execute with significantly more gas than then transaction requested, possibly exceeding gas limitations. This issue is patched in version 22.7.1. As a workaround, reverting to version 22.1.3 or earlier will prevent incorrect execution.
Severity: CRITICAL (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:H)
Weakness: CWE-196
Affected vendors: linuxfoundation
Affected products: besu
CVE-2022-36026 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. If `QuantizeAndDequantizeV3` is given a nonscalar `num_bits` input tensor, it results in a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit f3f9cb38ecfe5a8a703f2c4a8fead434ef291713. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-617
Affected vendors: google
Affected products: tensorflow
CVE-2022-36027 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. When converting transposed convolutions using per-channel weight quantization the converter segfaults and crashes the Python process. We have patched the issue in GitHub commit aa0b852a4588cea4d36b74feb05d93055540b450. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-20
Affected vendors: google
Affected products: tensorflow
CVE-2022-36028 (published 2024-04-25)
Greenlight is an end-user interface for BigBlueButton servers. Versions prior to 2.13.0 have an open redirect vulnerability in the Login page due to unchecked the value of the `return_to` cookie. Versions 2.13.0 contains a patch for the issue.

Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N)
Weakness: CWE-601
Affected vendors: bigbluebutton
Affected products: greenlight
CVE-2022-36029 (published 2024-04-25)
Greenlight is an end-user interface for BigBlueButton servers. Versions prior to 2.13.0 have an open redirect vulnerability in the Login page due to unchecked the value of the `return_to` cookie. Versions 2.13.0 contains a patch for the issue.

Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N)
Weakness: CWE-601
Affected vendors: bigbluebutton
Affected products: greenlight
CVE-2022-3603 (published 2022-11-28)
The Export customers list csv for WooCommerce, WordPress users csv, export Guest customer list WordPress plugin before 2.0.69 does not validate data when outputting it back in a CSV file, which could lead to CSV injection.
Severity: CRITICAL (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H)
Affected vendors: piwebsolution
Affected products: export_customers_list_csv_for_woocommerce
CVE-2022-36030 (published 2022-08-20)
Project-nexus is a general-purpose blog website framework. Affected versions are subject to SQL injection due to a lack of sensitization of user input. This issue has not yet been patched. Users are advised to restrict user input and to upgrade when a new release becomes available.
Severity: CRITICAL (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H)
Weakness: CWE-89
Affected vendors: project-nexus_project
Affected products: project-nexus
CVE-2022-36031 (published 2022-08-19)
Directus is a free and open-source data platform for headless content management. The Directus process can be aborted by having an authorized user update the `filename_disk` value to a folder and accessing that file through the `/assets` endpoint. This vulnerability has been patched and release v9.15.0 contains the fix. Users are advised to upgrade. Users unable to upgrade may prevent this problem by making sure no (untrusted) non-admin users have permissions to update the `filename_disk` field on `directus_files`.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-755
Affected vendors: monospace
Affected products: directus
CVE-2022-36032 (published 2022-09-06)
ReactPHP HTTP is a streaming HTTP client and server implementation for ReactPHP. In ReactPHP's HTTP server component versions starting with 0.7.0 and prior to 1.7.0, when ReactPHP is processing incoming HTTP cookie values, the cookie names are url-decoded. This may lead to cookies with prefixes like `__Host-` and `__Secure-` confused with cookies that decode to such prefix, thus leading to an attacker being able to forge cookie which is supposed to be secure. This issue is fixed in ReactPHP HTTP version 1.7.0. As a workaround, Infrastructure or DevOps can place a reverse proxy in front of the ReactPHP HTTP server to filter out any unexpected `Cookie` request headers.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N)
Weakness: CWE-20
Affected vendors: reactphp
Affected products: http
CVE-2022-36033 (published 2022-08-29)
jsoup is a Java HTML parser, built for HTML editing, cleaning, scraping, and cross-site scripting (XSS) safety. jsoup may incorrectly sanitize HTML including `javascript:` URL expressions, which could allow XSS attacks when a reader subsequently clicks that link. If the non-default `SafeList.preserveRelativeLinks` option is enabled, HTML including `javascript:` URLs that have been crafted with control characters will not be sanitized. If the site that this HTML is published on does not set a Content Security Policy, an XSS attack is then possible. This issue is patched in jsoup 1.15.3. Users should upgrade to this version. Additionally, as the unsanitized input may have been persisted, old content should be cleaned again using the updated version. To remediate this issue without immediately upgrading: - disable `SafeList.preserveRelativeLinks`, which will rewrite input URLs as absolute URLs - ensure an appropriate [Content Security Policy](https://developer.mozilla.org/en-US/docs/Web/HTTP/CSP) is defined. (This should be used regardless of upgrading, as a defence-in-depth best practice.)
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N)
Weakness: CWE-79
Affected vendors: jsoup, netapp
Affected products: jsoup, management_services_for_element_software, management_services_for_netapp_hci, oncommand_workflow_automation
CVE-2022-36034 (published 2022-08-29)
nitrado.js is a type safe wrapper for the Nitrado API. Possible ReDoS with lib input of `{{` and with many repetitions of `{{|`. This issue has been patched in all versions above `0.2.5`. There are currently no known workarounds.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-400
Affected vendors: nitrado.js_project
Affected products: nitrado.js
CVE-2022-36035 (published 2022-08-31)
Flux is a tool for keeping Kubernetes clusters in sync with sources of configuration (like Git repositories), and automating updates to configuration when there is new code to deploy. Flux CLI allows users to deploy Flux components into a Kubernetes cluster via command-line. The vulnerability allows other applications to replace the Flux deployment information with arbitrary content which is deployed into the target Kubernetes cluster instead. The vulnerability is due to the improper handling of user-supplied input, which results in a path traversal that can be controlled by the attacker. Users sharing the same shell between other applications and the Flux CLI commands could be affected by this vulnerability. In some scenarios no errors may be presented, which may cause end users not to realize that something is amiss. A safe workaround is to execute Flux CLI in ephemeral and isolated shell environments, which can ensure no persistent values exist from previous processes. However, upgrading to the latest version of the CLI is still the recommended mitigation strategy.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H)
Weakness: CWE-22
Affected vendors: fluxcd
Affected products: flux2
CVE-2022-36036 (published 2022-08-29)
mdx-mermaid provides plug and play access to Mermaid in MDX. There is a potential for an arbitrary javascript injection in versions less than 1.3.0 and 2.0.0-rc1. Modify any mermaid code blocks with arbitrary code and it will execute when the component is loaded by MDXjs. This vulnerability was patched in version(s) 1.3.0 and 2.0.0-rc2. There are currently no known workarounds.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H)
Weakness: CWE-94
Affected vendors: mdx-mermaid_project
Affected products: mdx-mermaid
CVE-2022-36037 (published 2022-08-29)
kirby is a content management system (CMS) that adapts to many different projects and helps you build your own ideal interface. Cross-site scripting (XSS) is a type of vulnerability that allows execution of any kind of JavaScript code inside the Panel session of the same or other users. In the Panel, a harmful script can for example trigger requests to Kirby's API with the permissions of the victim. If bad actors gain access to your group of authenticated Panel users they can escalate their privileges via the Panel session of an admin user. Depending on your site, other JavaScript-powered attacks are possible. The multiselect field allows selection of tags from an autocompleted list. Unfortunately, the Panel in Kirby 3.5 used HTML rendering for the raw option value. This allowed **attackers with influence on the options source** to store HTML code. The browser of the victim who visited a page with manipulated multiselect options in the Panel will then have rendered this malicious HTML code when the victim opened the autocomplete dropdown. Users are *not* affected by this vulnerability if you don't use the multiselect field or don't use it with options that can be manipulated by attackers. The problem has been patched in Kirby 3.5.8.1.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:N)
Weakness: CWE-79
Affected vendors: getkirby
Affected products: kirby
CVE-2022-36038 (published 2022-09-06)
CircuitVerse is an open-source platform which allows users to construct digital logic circuits online. A remote code execution (RCE) vulnerability in CircuitVerse allows authenticated attackers to execute arbitrary code via specially crafted JSON payloads. This issue may lead to Remote Code Execution (RCE). A patch is available in commit number 7b3023a99499a7675f10f2c1d9effdf10c35fb6e. There are currently no known workarounds.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H)
Weakness: CWE-502
Affected vendors: circuitverse
Affected products: circuitverse
CVE-2022-36039 (published 2022-09-06)
Rizin is a UNIX-like reverse engineering framework and command-line toolset. Versions 0.4.0 and prior are vulnerable to out-of-bounds write when parsing DEX files. A user opening a malicious DEX file could be affected by this vulnerability, allowing an attacker to execute code on the user's machine. A patch is available on the `dev` branch of the repository.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H)
Weakness: CWE-787
Affected vendors: rizin
Affected products: rizin
CVE-2022-3604 (published 2024-01-16)
The Contact Form Entries WordPress plugin before 1.3.0 does not validate data when its output in a CSV file, which could lead to CSV injection.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H)
Weakness: CWE-1236
Affected vendors: crmperks
Affected products: database_for_contact_form_7\,_wpforms\,_elementor_forms
CVE-2022-36040 (published 2022-09-06)
Rizin is a UNIX-like reverse engineering framework and command-line toolset. Versions 0.4.0 and prior are vulnerable to an out-of-bounds write when getting data from PYC(python) files. A user opening a malicious PYC file could be affected by this vulnerability, allowing an attacker to execute code on the user's machine. Commit number 68948017423a12786704e54227b8b2f918c2fd27 contains a patch.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H)
Weakness: CWE-787
Affected vendors: rizin
Affected products: rizin
CVE-2022-36041 (published 2022-09-06)
Rizin is a UNIX-like reverse engineering framework and command-line toolset. Versions 0.4.0 and prior are vulnerable to an out-of-bounds write when parsing Mach-O files. A user opening a malicious Mach-O file could be affected by this vulnerability, allowing an attacker to execute code on the user's machine. Commit number 7323e64d68ecccfb0ed3ee480f704384c38676b2 contains a patch.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H)
Weakness: CWE-787
Affected vendors: rizin
Affected products: rizin
CVE-2022-36042 (published 2022-09-06)
Rizin is a UNIX-like reverse engineering framework and command-line toolset. Versions 0.4.0 and prior are vulnerable to an out-of-bounds write when getting data from dyld cache files. A user opening a malicious dyld cache file could be affected by this vulnerability, allowing an attacker to execute code on the user's machine. Commit number 556ca2f9eef01ec0f4a76d1fbacfcf3a87a44810 contains a patch.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H)
Weakness: CWE-787
Affected vendors: rizin
Affected products: rizin
CVE-2022-36043 (published 2022-09-06)
Rizin is a UNIX-like reverse engineering framework and command-line toolset. Versions 0.4.0 and prior are vulnerable to a double free in bobj.c:rz_bin_reloc_storage_free() when freeing relocations generated from qnx binary plugin. A user opening a malicious qnx binary could be affected by this vulnerability, allowing an attacker to execute code on the user's machine. Commit number a3d50c1ea185f3f642f2d8180715f82d98840784 contains a patch for this issue.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H)
Weakness: CWE-415
Affected vendors: rizin
Affected products: rizin