Google Chrome before 8.0.552.237 and Chrome OS before 8.0.552.344 do not properly handle extensions notification, which allows remote attackers to cause a denial of service (application crash) via unspecified vectors.

Google Chrome before 8.0.552.237 and Chrome OS before 8.0.552.344 do not properly perform a cast of an unspecified variable during handling of video, which allows remote attackers to cause a denial of service or possibly have unspecified other impact via unknown vectors.

Tensorflow is an Open Source Machine Learning Framework. A `GraphDef` from a TensorFlow `SavedModel` can be maliciously altered to cause a TensorFlow process to crash due to encountering a `StatusOr` value that is an error and forcibly extracting the value from it. We have patched the issue in multiple GitHub commits and these will be included in TensorFlow 2.8.0 and TensorFlow 2.7.1, as both are affected.

The Web Sockets implementation in Google Chrome before 7.0.517.41 does not properly handle a shutdown action, which allows remote attackers to cause a denial of service (application crash) via unspecified vectors.

The CSSParser::parseFontFaceSrc function in WebCore/css/CSSParser.cpp in WebKit, as used in Google Chrome before 8.0.552.224, Chrome OS before 8.0.552.343, webkitgtk before 1.2.6, and other products does not properly parse Cascading Style Sheets (CSS) token sequences, which allows remote attackers to cause a denial of service (out-of-bounds read) via a crafted local font, related to "Type Confusion."

Google Chrome before 8.0.552.215 does not properly handle HTML5 databases, which allows attackers to cause a denial of service (application crash) via unspecified vectors.

Google Chrome before 6.0.472.59 on Linux does not properly handle cursors, which might allow attackers to cause a denial of service (assertion failure) via unspecified vectors.

Any git operation is passed through Jetty and a session is created. No expiry is set for the session and Jetty does not automatically dispose of the session. Over multiple git actions, this can lead to a heap memory exhaustion for Gerrit servers. We recommend upgrading Gerrit to any of the versions listed above.

Google Chrome 1.0.154.48 executes a mail application in situations where an IFRAME element has a mailto: URL in its SRC attribute, which allows remote attackers to cause a denial of service (excessive application launches) via an HTML document with many IFRAME elements.

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.

Google Chrome before 5.0.375.99 does not properly implement modal dialogs, which allows attackers to cause a denial of service (application crash) via unspecified vectors.

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.

Google Chrome before 4.1.249.1064 does not properly handle HTML5 media, which allows remote attackers to cause a denial of service (memory corruption) and possibly have unspecified other impact via unknown vectors.

The ParamTraits<SkBitmap>::Read function in common/common_param_traits.cc in Google Chrome before 4.0.249.78 does not use the correct variables in calculations designed to prevent integer overflows, which allows attackers to leverage renderer access to cause a denial of service or possibly have unspecified other impact via bitmap data, related to deserialization.

Stack consumption vulnerability in the WebCore::CSSSelector function in WebKit, as used in Apple Safari 4.0.4, Apple Safari on iPhone OS and iPhone OS for iPod touch, and Google Chrome 4.0.249, allows remote attackers to cause a denial of service (application crash) or possibly execute arbitrary code via a STYLE element composed of a large number of *> sequences.

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.

TensorFlow is an open source platform for machine learning. There is out-of-bounds access due to mismatched integer type sizes. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.

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.

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.

Google Chrome before 4.1.249.1036 allows remote attackers to cause a denial of service (memory error) or possibly have unspecified other impact via a malformed SVG document.

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.

In DeregAcceptProcINT of cn_NrmmStateDeregInit.cpp, there is a possible denial of service due to a logic error in the code. This could lead to remote denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.

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.

Tensorflow is an Open Source Machine Learning Framework. ### Impact An attacker can craft a TFLite model that would trigger a division by zero in the implementation of depthwise convolutions. The parameters of the convolution can be user controlled and are also used within a division operation to determine the size of the padding that needs to be added before applying the convolution. There is no check before this division that the divisor is strictly positive. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

WebKit before r50173, as used in Google Chrome before 3.0.195.32, allows remote attackers to cause a denial of service (CPU consumption) via a web page that calls the JavaScript setInterval method, which triggers an incompatibility between the WTF::currentTime and base::Time functions.

Remote prevention of access to cellular service with no user interaction (for example, crashing the cellular radio service with a malformed packet)

Google Chrome 1.0.154.48 and earlier allows remote attackers to cause a denial of service (CPU consumption and application hang) via JavaScript code with a long string value for the hash property (aka location.hash), a related issue to CVE-2008-5715.

Google Chrome 1.0.154.65, 1.0.154.48, and earlier allows remote attackers to (1) cause a denial of service (application hang) via vectors involving a chromehtml: URI value for the document.location property or (2) cause a denial of service (application hang and CPU consumption) via vectors involving a series of function calls that set a chromehtml: URI value for the document.location property.

Google Chrome 1.0.154.48 and earlier allows remote attackers to cause a denial of service (CPU consumption) via an automatically submitted form containing a KEYGEN element, a related issue to CVE-2009-1828.

Unspecified vulnerability in the com.android.phone process in Android 1.0, 1.1, and 1.5 allows remote attackers to cause a denial of service (network disconnection) via a crafted SMS message, as demonstrated by Collin Mulliner and Charlie Miller at Black Hat USA 2009.

Improper input validation for some Intel Unison software may allow an unauthenticated user to potentially enable denial of service via network access.

Improper access control for some Intel Unison software may allow an unauthenticated user to potentially enable denial of service via network access.

Product: AndroidVersions: Android kernelAndroid ID: A-229255400References: N/A

In LogResponse of Dns.cpp, there is a possible out of bounds read due to a missing bounds check. This could lead to remote denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-13Android ID: A-261079188

In Minikin, there is a possible way to trigger ANR by showing a malicious message due to resource exhaustion. This could lead to remote denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.

In doInBackground of NotificationContentInflater.java, there is a possible temporary denial or service due to long running operations. This could lead to remote denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-11 Android-12 Android-12L Android-13Android ID: A-252766417

In on_create_record_event of btif_sdp_server.cc, there is a possible out of bounds read due to a missing null check. This could lead to remote denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-13Android ID: A-263545186

Google Chrome 2.x through 2.0.172 allows remote attackers to cause a denial of service (application crash) via a long Unicode string argument to the write method, a related issue to CVE-2009-2479.

In Messaging, there is a possible way to disable the messaging application due to improper input validation. This could lead to remote denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.

In wlan firmware, there is possible system crash due to an uncaught exception. This could lead to remote denial of service with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS07664711; Issue ID: ALPS07664711.

In wifi driver, there is a possible system crash due to a missing bounds check. This could lead to remote denial of service with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS05551397; Issue ID: ALPS05551397.

In wlan firmware, there is possible system crash due to an integer overflow. This could lead to remote denial of service with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS07664731; Issue ID: ALPS07664731.

In wlan firmware, there is possible system crash due to an integer overflow. This could lead to remote denial of service with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS07664735; Issue ID: ALPS07664735.

Product: AndroidVersions: Android kernelAndroid ID: A-210916981References: N/A

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, by controlling the `fill` argument of tf.strings.as_string, a malicious attacker is able to trigger a format string vulnerability due to the way the internal format use in a `printf` call is constructed. This may result in segmentation fault. The issue is patched in commit 33be22c65d86256e6826666662e40dbdfe70ee83, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, changing the TensorFlow's `SavedModel` protocol buffer and altering the name of required keys results in segfaults and data corruption while loading the model. This can cause a denial of service in products using `tensorflow-serving` or other inference-as-a-service installments. Fixed were added in commits f760f88b4267d981e13f4b302c437ae800445968 and fcfef195637c6e365577829c4d67681695956e7d (both going into TensorFlow 2.2.0 and 2.3.0 but not yet backported to earlier versions). However, this was not enough, as #41097 reports a different failure mode. The issue is patched in commit adf095206f25471e864a8e63a0f1caef53a0e3a6, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

In Tensorflow before version 2.4.0, when the `boxes` argument of `tf.image.crop_and_resize` has a very large value, the CPU kernel implementation receives it as a C++ `nan` floating point value. Attempting to operate on this is undefined behavior which later produces a segmentation fault. The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved.

Google Chrome BETA (0.2.149.27) does not prompt the user before saving an executable file, which makes it easier for remote attackers or malware to cause a denial of service (disk consumption) or exploit other vulnerabilities via a URL that references an executable file, possibly related to the "ask where to save each file before downloading" setting.

In Tensorflow before version 2.4.0, an attacker can pass an invalid `axis` value to `tf.quantization.quantize_and_dequantize`. This results in accessing a dimension outside the rank of the input tensor in the C++ kernel implementation. However, dim_size only does a DCHECK to validate the argument and then uses it to access the corresponding element of an array. Since in normal builds, `DCHECK`-like macros are no-ops, this results in segfault and access out of bounds of the array. The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved.

Google Chrome 0.2.149.29 and earlier allows remote attackers to cause a denial of service (unusable browser) by calling the window.print function in a loop, aka a "printing DoS attack," possibly a related issue to CVE-2009-0821.