In display, there is a possible out of bounds read due to an incorrect bounds check. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS08059081; Issue ID: ALPS08059081.
An exploitable heap out-of-bounds read vulnerability exists in the way CoTURN 4.5.1.1 web server parses POST requests. A specially crafted HTTP POST request can lead to information leaks and other misbehavior. An attacker needs to send an HTTPS request to trigger this vulnerability.
An out-of-bounds heap read in Busybox's unlzma applet leads to information leak and denial of service when crafted LZMA-compressed input is decompressed. This can be triggered by any applet/format that
Google Chrome before 18.0.1025.142 does not properly handle text fragments, which allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.
libImaging/FliDecode.c in Pillow before 6.2.2 has an FLI buffer overflow.
Crash in the pcapng file parser in Wireshark 3.6.0 allows denial of service via crafted capture file
Out-of-bounds Read in GitHub repository vim/vim prior to 8.2.
In cmdq driver, there is a possible out of bounds read due to an incorrect bounds check. This could lead to local information disclosure with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS05747150; Issue ID: ALPS05747150.
LibTIFF master branch has an out-of-bounds read in LZWDecode in libtiff/tif_lzw.c:624, 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 b4e79bfa.
Out-of-bounds Read error in tiffcp in libtiff 4.3.0 allows 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 408976c4.
In gnss service, there is a possible out of bounds read due to improper input validation. This could lead to local information disclosure with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS08044040; Issue ID: ALPS08044032.
In display, there is a possible out of bounds read due to an incorrect bounds check. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS07388762; Issue ID: ALPS07388762.
Data leak in Canvas in Google Chrome prior to 99.0.4844.51 allowed a remote attacker who convinced a user to engage in screen sharing to potentially leak cross-origin data via a crafted HTML page.
In battery, there is a possible information disclosure due to a missing bounds check. This could lead to local information disclosure with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS08308070; Issue ID: ALPS08307992.
LibTIFF master branch has an out-of-bounds read in LZWDecode in libtiff/tif_lzw.c:619, 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 b4e79bfa.
In bluethooth service, there is a possible out of bounds reads due to improper input validation. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS07884130; Issue ID: ALPS07884130.
Google Chrome before 13.0.782.107 does not properly handle Skia paths, which allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.
In display drm, there is a possible out of bounds read due to a missing bounds check. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS07363740; Issue ID: ALPS07363740.
TensorFlow is an open source platform for machine learning. In affected versions the shape inference functions for `SparseCountSparseOutput` can trigger a read outside of bounds of heap allocated array. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Out of bounds read in ANGLE in Google Chrome prior to 99.0.4844.51 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page.
The png_format_buffer function in pngerror.c in libpng 1.0.x before 1.0.55, 1.2.x before 1.2.45, 1.4.x before 1.4.8, and 1.5.x before 1.5.4 allows remote attackers to cause a denial of service (application crash) via a crafted PNG image that triggers an out-of-bounds read during the copying of error-message data. NOTE: this vulnerability exists because of a CVE-2004-0421 regression. NOTE: this is called an off-by-one error by some sources.
In FreeRDP before version 2.1.2, there is an out of bounds read in TrioParse. Logging might bypass string length checks due to an integer overflow. This is fixed in version 2.1.2.
In gnss service, there is a possible out of bounds read due to improper input validation. This could lead to local information disclosure with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS08037801; Issue ID: ALPS08037801.
In display, there is a possible out of bounds read due to an incorrect status check. This could lead to local information disclosure with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS07993705; Issue ID: ALPS07993705.
Missing input validation in the ar/tar implementations of APT before version 2.1.2 could result in denial of service when processing specially crafted deb files.
Google Chrome before 17.0.963.56 does not properly parse H.264 data, which allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.
In FreeRDP before version 2.1.2, there is an out of bounds read in RLEDECOMPRESS. All FreeRDP based clients with sessions with color depth < 32 are affected. This is fixed in version 2.1.2.
Leptonica before 1.80.0 allows a heap-based buffer over-read in pixReadFromTiffStream, related to tiffio.c.
Leptonica before 1.80.0 allows a heap-based buffer over-read in rasteropGeneralLow, related to adaptmap_reg.c and adaptmap.c.
vim is vulnerable to Out-of-bounds Read
Google Chrome before 11.0.696.57 does not properly handle SVG documents, which allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.
radare2 is vulnerable to Out-of-bounds Read
Leptonica before 1.80.0 allows a heap-based buffer over-read in findNextBorderPixel in ccbord.c.
Leptonica before 1.80.0 allows a heap-based buffer over-read in pixFewColorsOctcubeQuantMixed in colorquant1.c.
In ippSetValueTag of ipp.c, there is a possible out of bounds read due to a missing bounds check. This could lead to local information disclosure of past print jobs or other print-related information, with no additional execution privileges needed. User interaction is not needed for exploitation.
Crash in the Sysdig Event dissector in Wireshark 3.6.0 and 3.4.0 to 3.4.10 allows denial of service via packet injection or crafted capture file
In Pillow before 8.1.0, PcxDecode has a buffer over-read when decoding a crafted PCX file because the user-supplied stride value is trusted for buffer calculations.
TensorFlow is an open source platform for machine learning. In affected versions the implementation of `SparseBinCount` is vulnerable to a heap OOB access. This is because of missing validation between the elements of the `values` argument and the shape of the sparse output. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
A code execution vulnerability exists in the Nef polygon-parsing functionality of CGAL libcgal CGAL-5.1.1. An oob read vulnerability exists in Nef_S2/SNC_io_parser.h SNC_io_parser::read_sloop() slh->incident_sface. An attacker can provide malicious input to trigger this vulnerability.
TensorFlow is an open source platform for machine learning. In affected versions the implementation of `SparseFillEmptyRows` can be made to trigger a heap OOB access. This occurs whenever the size of `indices` does not match the size of `values`. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
A code execution vulnerability exists in the Nef polygon-parsing functionality of CGAL libcgal CGAL-5.1.1. An oob read vulnerability exists in Nef_2/PM_io_parser.h PM_io_parser::read_vertex() Face_of[] OOB read. An attacker can provide malicious input to trigger this vulnerability.
NVIDIA driver contains a possible out-of-bounds read vulnerability due to a leak which may lead to information disclosure. This issue is rated as moderate. Android: A-63851980.
TensorFlow is an open source platform for machine learning. In affected versions the shape inference functions for the `QuantizeAndDequantizeV*` operations can trigger a read outside of bounds of heap allocated array. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
A flaw was found in the KVM's AMD code for supporting the Secure Encrypted Virtualization-Encrypted State (SEV-ES). A KVM guest using SEV-ES can trigger out-of-bounds reads and writes in the host kernel via a malicious VMGEXIT for a string I/O instruction (for example, outs or ins) using the exit reason SVM_EXIT_IOIO. This issue results in a crash of the entire system or a potential guest-to-host escape scenario.
In gatt_process_read_by_type_rsp of gatt_cl.cc, there is a possible out of bounds read due to a missing bounds check. This could lead to remote information disclosure in the Bluetooth server with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-8.1 Android-9 Android-10 Android-11 Android-8.0Android ID: A-158778659
In phNxpNciHal_send_ext_cmd of phNxpNciHal_ext.cc, there is a possible out of bounds write due to a missing bounds check. This could lead to local escalation of privilege in the NFC server with System execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-11Android ID: A-153731369
TensorFlow is an open source platform for machine learning. In affected versions the implementation of `FusedBatchNorm` kernels is vulnerable to a heap OOB access. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
In phNxpNciHal_core_initialized of phNxpNciHal.cc, there is a possible out of bounds read due to a missing bounds check. This could lead to local information disclosure in the NFC server with System execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-11Android ID: A-153731335
A flaw was found in the check_chunk_name() function of pngcheck-2.4.0. An attacker able to pass a malicious file to be processed by pngcheck could cause a temporary denial of service, posing a low risk to application availability.
TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `QuantizeV2` can trigger a read outside of bounds of heap allocated array. This occurs whenever `axis` is a negative value less than `-1`. In this case, we are accessing data before the start of a heap buffer. The code allows `axis` to be an optional argument (`s` would contain an `error::NOT_FOUND` error code). Otherwise, it assumes that `axis` is a valid index into the dimensions of the `input` tensor. If `axis` is less than `-1` then this results in a heap OOB read. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, as this version is the only one that is also affected.