In TensorFlow release candidate versions 2.4.0rc*, the general implementation for matching filesystem paths to globbing pattern is vulnerable to an access out of bounds of the array holding the directories. There are multiple invariants and preconditions that are assumed by the parallel implementation of GetMatchingPaths but are not verified by the PRs introducing it (#40861 and #44310). Thus, we are completely rewriting the implementation to fully specify and validate these. This is patched in version 2.4.0. This issue only impacts master branch and the release candidates for TF version 2.4. The final release of the 2.4 release will be patched.
An issue was discovered on Samsung mobile devices with KK(4.4), L(5.0/5.1), M(6.0), and N(7.x) software. An attacker can crash system processes via a Serializable object because of missing exception handling. The Samsung IDs are SVE-2017-8109, SVE-2017-8110, SVE-2017-8115, SVE-2017-8118, and SVE-2017-8119 (April 2017).
An issue was discovered on Samsung mobile devices with L(5.0/5.1), M(6.0), and N(7.x) software. Intents related to Wi-Fi have incorrect exception handling, leading to a crash of system processes. The Samsung ID is SVE-2017-8389 (May 2017).
An issue was discovered on LG mobile devices with Android OS 7.2, 8.0, 8.1, 9, and 10 software. A service crash may occur because of incorrect input validation. The LG ID is LVE-SMP-200013 (July 2020).
An issue was discovered on LG mobile devices with Android OS 7.2, 8.0, 8.1, 9, and 10 software. An application crash can occur because of incorrect application-level input validation. The LG ID is LVE-SMP-200018 (July 2020).
In LteRrcNrProAsnDecode of LteRrcNr_Codec.c, 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 kernelAndroid ID: A-180956894References: N/A
A drm driver have oob problem, could cause the system crash or EOPProduct: AndroidVersions: Android SoCAndroid ID: A-233124709
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 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.
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.
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 Android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, a length variable which is used to copy data has a size of only 8 bits and can be exceeded resulting in a denial of service.
An issue was discovered in the flatbuffers crate through 2020-04-11 for Rust. read_scalar (and read_scalar_at) can transmute values without unsafe blocks.
In the ihevcd_parse_slice.c function, slave threads are not joined if there is an error. This could lead to a remote denial of service of a critical system process with no additional execution privileges needed. User interaction is not needed for exploitation. Product: Android. Versions: 6.0, 6.0.1, 7.0, 7.1.1, 7.1.2, 8.0, 8.1. Android ID: A-64784973.
A vulnerability in the Android media framework (libavc) related to handling dec_hdl memory allocation failures. Product: Android. Versions: 7.0, 7.1.1, 7.1.2, 8.0, 8.1. Android ID: A-68300072.
In avrc_ctrl_pars_vendor_rsp of avrc_pars_ct.cc, there is a possible NULL pointer dereference due to missing bounds checks. This could lead to remote denial of service with no additional execution privileges needed. User interaction is not needed for exploitation. Product: Android. Versions: 7.0, 7.1.1, 7.1.2, 8.0, 8.1. Android ID: A-71603553.
A vulnerability in the Android media framework (libavc) related to incorrect use of mmco parameters. Product: Android. Versions: 7.0, 7.1.1, 7.1.2, 8.0, 8.1. Android ID: A-65735716.
In ElementaryStreamQueue::dequeueAccessUnitMPEG4Video of ESQueue.cpp, there is a possible infinite loop leading to resource exhaustion due to an incorrect bounds check. This could lead to remote denial of service with no additional execution privileges needed. User interaction is needed for exploitation.
A vulnerability in the Android media framework (libvpx) related to odd frame width. Product: Android. Versions: 7.0, 7.1.1, 7.1.2, 8.0, 8.1. Android ID: A-64710201.
An issue was discovered on LG mobile devices with Android OS 8.0, 8.1, 9.0, and 10 software. System services may crash because of the lack of a NULL parameter check. The LG ID is LVE-SMP-200024 (November 2020).
In ihevcd_decode.c there is a possible infinite loop due to bytes for an sps of unsupported resolution resulting in the same sps being fed in over and over. This could lead to a remote denial of service of a critical system process with no additional execution privileges needed. User interaction is not needed for exploitation. Product: Android. Versions: 5.1.1, 6.0, 6.0.1, 7.0, 7.1.1, 7.1.2, 8.0, 8.1. Android ID: A-65718319.
In bta_scan_results_cb_impl of btif_ble_scanner.cc, there is possible resource exhaustion if a large number of repeated BLE scan results are received. This could lead to a remote denial of service of a critical system process with no additional execution privileges needed. User interaction is not needed for exploitation. Product: Android. Versions: 8.0. Android ID: A-65174158.
In Bluetooth, there is a possible crash due to an integer overflow. This could lead to remote denial of service on incoming calls with no additional execution privileges needed. User interaction is not needed for exploitation. Product: AndroidVersions: Android-10Android ID: A-79431031
TensorFlow is an end-to-end open source platform for machine learning. `array_ops.upper_bound` causes a segfault when not given a rank 2 tensor. The fix will be included in TensorFlow 2.13 and will also cherrypick this commit on TensorFlow 2.12.
Google Chrome before 20.0.1132.43 on Windows does not properly isolate sandboxed processes, which might allow remote attackers to cause a denial of service (process interference) via unspecified vectors.
Improper access control for some Intel Unison software may allow an unauthenticated user to potentially enable denial of service via network access.
A vulnerability in the Android media framework (n/a). Product: Android. Versions: 7.0, 7.1.1, 7.1.2, 8.0. Android ID: A-63045918.
In MPEG4Extractor.cpp, there are several places where functions return early without cleaning up internal buffers which could lead to memory leaks. This could lead to remote denial of service of a critical system process with no additional execution privileges needed. User interaction is not needed for exploitation. Product: Android. Versions: 5.1.1, 6.0, 6.0.1, 7.0, 7.1.1, 7.1.2, 8.0. Android ID: A-64452857.
Integer underflow in the add_pseudoheader function in dnsmasq before 2.78 , when the --add-mac, --add-cpe-id or --add-subnet option is specified, allows remote attackers to cause a denial of service via a crafted DNS request.
In the ihevcd_parse_sps function of ihevcd_parse_headers.c, several parameter values could be negative which could lead to negative indexes which could lead to an infinite loop. This could lead to a remote denial of service of a critical system process with no additional execution privileges needed. User interaction is not needed for exploitation. Product: Android. Versions: 5.1.1, 6.0, 6.0.1, 7.0, 7.1.1, 7.1.2, 8.0, 8.1. Android ID: A-65398821.
A denial of service vulnerability in the Android system (system ui). Product: Android. Versions: 8.0. Android ID: A-69969749.
In the hardware HEVC decoder, some media files could cause a page fault. This could lead to a remote denial of service of a critical system process with no additional execution privileges needed. User interaction is not needed for exploitation. Product: Android. Versions: Android kernel. Android ID: A-38495900.
A vulnerability in the Android media framework (ex) related to composition of frames lacking a color map. Product: Android. Versions: 7.0, 7.1.1, 7.1.2, 8.0, 8.1. Android ID: A-68399117.
In Modem IMS Call UA, there is a possible out of bounds write 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: MOLY01161825; Issue ID: MOLY01161825 (MSV-895).
A vulnerability in the Android media framework (libhevc) related to handling ps_codec_obj memory allocation failures. Product: Android. Versions: 7.0, 7.1.1, 7.1.2, 8.0, 8.1. Android ID: A-68299873.
In the ihevcd_parse_slice_header function of ihevcd_parse_slice_header.c a slice address of zero after the first slice could result in an infinite loop. This could lead to a remote denial of service of a critical system process with no additional execution privileges needed. User interaction is not needed for exploitation. Product: Android. Versions: 5.1.1, 6.0, 6.0.1, 7.0, 7.1.1, 7.1.2, 8.0, 8.1. Android ID: A-64380202.
A denial of service vulnerability in the Android system (system ui). Product: Android. Versions: 8.0. Android ID: A-66498711.
In wlan firmware, there is a possible firmware assertion due to improper input handling. This could lead to remote denial of service with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS07932637; Issue ID: ALPS07932637.
TensorFlow is an end-to-end open source platform for machine learning. Constructing a tflite model with a paramater `filter_input_channel` of less than 1 gives a FPE. This issue has been patched in version 2.12. TensorFlow will also cherrypick the fix commit on TensorFlow 2.11.1.
Another vulnerability in the Android media framework (n/a). Product: Android. Versions: 7.0, 7.1.1, 7.1.2, 8.0. Android ID: A-64836894.
A vulnerability in the Android media framework (n/a). Product: Android. Versions: 7.0, 7.1.1, 7.1.2, 8.0. Android ID: A-62187433.
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.
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.
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.ParallelConcat` segfaults with a nullptr dereference when given a parameter `shape` with rank that is not greater than zero. A fix is available in TensorFlow 2.12.0 and 2.11.1.
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 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. Prior to versions 2.12.0 and 2.11.1, when `SparseSparseMaximum` is given invalid sparse tensors as inputs, it can give a null pointer error. A fix is included in TensorFlow version 2.12 and version 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.
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. The function `tf.raw_ops.LookupTableImportV2` cannot handle scalars in the `values` parameter and gives an NPE. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.