In hyp_alloc of arch/arm64/kvm/hyp/nvhe/alloc.c, there is a possible out of bounds write due to improper input validation. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.
Insufficient validation of untrusted input in SiteIsolation in Google Chrome prior to 148.0.7778.96 allowed a remote attacker who had compromised the renderer process to bypass site isolation via a crafted HTML page. (Chromium security severity: Medium)
Insufficient validation of untrusted input in Cookies in Google Chrome prior to 148.0.7778.96 allowed a remote attacker to perform privilege escalation via a crafted HTML page. (Chromium security severity: Medium)
TensorFlow is an open source platform for machine learning. Inputs `dense_features` or `example_state_data` not of rank 2 will trigger a `CHECK` fail in `SdcaOptimizer`. We have patched the issue in GitHub commit 80ff197d03db2a70c6a111f97dcdacad1b0babfa. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
TensorFlow is an open source platform for machine learning. If `SparseFillEmptyRowsGrad` is given empty inputs, TensorFlow will crash. We have patched the issue in GitHub commit af4a6a3c8b95022c351edae94560acc61253a1b8. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
TensorFlow is an open source platform for machine learning. An input `token` that is not a UTF-8 bytestring will trigger a `CHECK` fail in `tf.raw_ops.PyFunc`. We have patched the issue in GitHub commit 9f03a9d3bafe902c1e6beb105b2f24172f238645. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Insufficient validation of untrusted input in WebML in Google Chrome prior to 147.0.7727.55 allowed a remote attacker to perform an out of bounds memory write via a crafted HTML page. (Chromium security severity: Low)
Insufficient policy enforcement in downloads in Google Chrome on OS X prior to 80.0.3987.87 allowed an attacker who convinced a user to install a malicious extension to execute arbitrary code via a crafted Chrome Extension.
Insufficient validation of untrusted input in Omnibox in Google Chrome prior to 80.0.3987.87 allowed a remote attacker to perform domain spoofing via IDN homographs via a crafted domain name.
The FrameLoader::notifyIfInitialDocumentAccessed function in core/loader/FrameLoader.cpp in Blink, as used in Google Chrome before 31.0.1650.63, makes an incorrect check for an empty document during presentation of a modal dialog, which allows remote attackers to spoof the address bar via vectors involving the document.write method.
Insufficient validation of untrusted input in Downloads in Google Chrome prior to 108.0.5359.71 allowed an attacker who convinced a user to install a malicious extension to bypass Downloads restrictions via a crafted HTML page. (Chromium security severity: Medium)
TensorFlow is an open source platform for machine learning. An input `encoded` that is not a valid `CompositeTensorVariant` tensor will trigger a segfault in `tf.raw_ops.CompositeTensorVariantToComponents`. We have patched the issue in GitHub commits bf594d08d377dc6a3354d9fdb494b32d45f91971 and 660ce5a89eb6766834bdc303d2ab3902aef99d3d. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
The SVGAnimateElement::calculateAnimatedValue function in core/svg/SVGAnimateElement.cpp in Blink, as used in Google Chrome before 33.0.1750.117, does not properly handle unexpected data types, which allows remote attackers to cause a denial of service (incorrect cast) or possibly have unspecified other impact via unknown vectors.
TensorFlow is an open source platform for machine learning. If `tf.raw_ops.TensorListConcat` is given `element_shape=[]`, it results segmentation fault which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit fc33f3dc4c14051a83eec6535b608abe1d355fde. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Insufficient policy enforcement in Omnibox in Google Chrome prior to 63.0.3239.84 allowed a remote attacker to perform domain spoofing via IDN homographs in a crafted domain name.
Insufficient validation of untrusted input in Downloads in Google Chrome on Windows prior to 147.0.7727.55 allowed a remote attacker to bypass download restrictions via a crafted HTML page. (Chromium security severity: Medium)
Cross-application scripting vulnerability in the Browser URL loading functionality in Android 2.3.4 and 3.1 allows local applications to bypass the sandbox and execute arbitrary Javascript in arbitrary domains by (1) causing the MAX_TAB number of tabs to be opened, then loading a URI to the targeted domain into the current tab, or (2) making two startActivity function calls beginning with the targeted domain's URI followed by the malicious Javascript while the UI focus is still associated with the targeted domain.
The StoreBuffer::ExemptPopularPages function in store-buffer.cc in Google V8 before 3.22.24.16, as used in Google Chrome before 32.0.1700.102, allows remote attackers to cause a denial of service (memory corruption) or possibly have unspecified other impact via vectors that trigger incorrect handling of "popular pages."
The CyanogenMod/ClockWorkMod/Koush Superuser package 1.0.2.1 for Android allows attackers to gain privileges via shell metacharacters in the -c option to /system/xbin/su.
Improper input validation vulnerability in DualOutFocusViewer prior to SMR Nov-2022 Release 1 allows local attacker to perform an arbitrary code execution.
In onCreate of MediaProjectionPermissionActivity.java , there is a possible way to grant a malicious app a token enabling unauthorized screen recording capabilities due to improper input validation. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.
Insufficient data validation in Navigation in Google Chrome prior to 145.0.7632.159 allowed a remote attacker to potentially perform a sandbox escape via a crafted HTML page. (Chromium security severity: High)
In getCallingAppName of Shared.java, there is a possible way to trick users into granting file access via deceptive text in a permission popup due to improper input validation. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.
Google Chrome before 8.0.552.237 and Chrome OS before 8.0.552.344 do not properly handle speech data, which allows remote attackers to execute arbitrary code via unspecified vectors that lead to a "stale pointer."
Android 3.0 through 4.1.x on Disney Mobile, eAccess, KDDI, NTT DOCOMO, SoftBank, and other devices does not properly implement the WebView class, which allows remote attackers to execute arbitrary methods of Java objects or cause a denial of service (reboot) via a crafted web page, as demonstrated by use of the WebView.addJavascriptInterface method, a related issue to CVE-2012-6636.
Insufficient validation of untrusted input in WebSockets in Google Chrome prior to 147.0.7727.55 allowed a remote attacker who had compromised the renderer process to bypass same origin policy via a crafted HTML page. (Chromium security severity: Low)
Improper restriction of broadcasting Intent in MouseNKeyHidDevice prior to SMR Oct-2022 Release 1 leaks MAC address of the connected Bluetooth device.
Path traversal vulnerability in FactoryAirCommnadManger prior to SMR Sep-2021 Release 1 allows attackers to write file as system uid via remote socket.
Path traversal vulnerability in CallBGProvider prior to SMR Sep-2022 Release 1 allows attacker to overwrite arbitrary file with phone uid.
Use-after-free vulnerability in Google Chrome before 28.0.1500.71 allows remote attackers to cause a denial of service or possibly have unspecified other impact via vectors related to the handling of input.
Insufficient validation of untrusted input in Media in Google Chrome prior to 147.0.7727.55 allowed a remote attacker who had compromised the renderer process to execute arbitrary code inside a sandbox via a crafted HTML page. (Chromium security severity: Medium)
Intent redirection in Photo Editor prior to SMR Sep-2022 Release 1 allows attacker to get sensitive information.
Out of bound read in libapexjni.media.samsung.so prior to SMR Sep-2022 Release 1 allows attacker access unauthorized information.
Insufficient validation of untrusted input in Navigation in Google Chrome prior to 146.0.7680.153 allowed a remote attacker who had compromised the renderer process to potentially perform a sandbox escape via a crafted HTML page. (Chromium security severity: High)
A remote code execution vulnerability in the Android media framework (n/a). Product: Android. Versions: 7.0, 7.1.1, 7.1.2, 8.0, 8.1. ID: A-68160703.
A denial of service vulnerability in the Android media framework (libmpeg2). Product: Android. Versions: 6.0, 6.0.1, 7.0, 7.1.1, 7.1.2, 8.0. Android ID A-65717533.
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 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.
TensorFlow is an open source platform for machine learning. If `RaggedBincount` is given an empty input tensor `splits`, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 7a4591fd4f065f4fa903593bc39b2f79530a74b8. 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.
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 GitHub commit aca766ac7693bf29ed0df55ad6bfcc78f35e7f48. 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.
TensorFlow is an open source platform for machine learning. If `SparseBincount` is given inputs for `indices`, `values`, and `dense_shape` that do not make a valid sparse tensor, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 40adbe4dd15b582b0210dfbf40c243a62f5119fa. 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.
Insufficient data validation in File System in Google Chrome prior to 107.0.5304.62 allowed a remote attacker to bypass file system restrictions via a crafted HTML page. (Chromium security severity: Medium)
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 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.
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 GitHub commit 7cdf9d4d2083b739ec81cfdace546b0c99f50622. 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.
Insufficient validation of untrusted input in Extensions in Google Chrome prior to 135.0.7049.52 allowed a remote attacker to perform privilege escalation via a crafted HTML page. (Chromium security severity: Medium)
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 commit 2a458fc4866505be27c62f81474ecb2b870498fa. 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.
Insufficient data validation in Extensions in Google Chrome prior to 107.0.5304.62 allowed a remote attacker who had compromised the renderer process to leak cross-origin data via a crafted Chrome extension. (Chromium security severity: Low)
TensorFlow is an open source platform for machine learning. If `QuantizedRelu` or `QuantizedRelu6` are given nonscalar inputs for `min_features` or `max_features`, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 49b3824d83af706df0ad07e4e677d88659756d89. 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.
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 GitHub commit 73ad1815ebcfeb7c051f9c2f7ab5024380ca8613. 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.
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.
A denial of service vulnerability in the Android system (system ui). Product: Android. Versions: 8.0. Android ID: A-69969749.