The htmlParseTryOrFinish function in HTMLparser.c in libxml2 2.9.4 allows attackers to cause a denial of service (buffer over-read) or information disclosure.

TensorFlow is an open source platform for machine learning. The function MakeGrapplerFunctionItem takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered. We have patched the issue in GitHub commit a65411a1d69edfb16b25907ffb8f73556ce36bb7. The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.8.4, 2.9.3, and 2.10.1.

In LibRaw before 0.21.4, metadata/tiff.cpp has an out-of-bounds read in the Fujifilm 0xf00c tag parser.

In LibRaw before 0.21.4, phase_one_correct in decoders/load_mfbacks.cpp has out-of-bounds reads for tag 0x412 processing, related to large w0 or w1 values or the frac and mult calculations.

In LibRaw before 0.21.4, phase_one_correct in decoders/load_mfbacks.cpp allows out-of-buffer access because split_col and split_row values are not checked in 0x041f tag processing.

The libxul.so!gfxContext::Polygon function in Mozilla Firefox before 28.0, Firefox ESR 24.x before 24.4, Thunderbird before 24.4, and SeaMonkey before 2.25 allows remote attackers to obtain sensitive information from process memory, cause a denial of service (out-of-bounds read and application crash), or possibly bypass the Same Origin Policy via vectors involving MathML polygon rendering.

xrdp is an open source project which provides a graphical login to remote machines using Microsoft Remote Desktop Protocol (RDP). xrdp < v0.9.21 contain a Out of Bound Read in xrdp_sec_process_mcs_data_CS_CORE() function. There are no known workarounds for this issue. Users are advised to upgrade.

In wolfSSL before 5.5.2, if callback functions are enabled (via the WOLFSSL_CALLBACKS flag), then a malicious TLS 1.3 client or network attacker can trigger a buffer over-read on the heap of 5 bytes. (WOLFSSL_CALLBACKS is only intended for debugging.)

TensorFlow is an open source platform for machine learning. The function MakeGrapplerFunctionItem takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered. We have patched the issue in GitHub commit a65411a1d69edfb16b25907ffb8f73556ce36bb7. The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.8.4, 2.9.3, and 2.10.1.

An issue was discovered in the lucet-runtime-internals crate before 0.5.1 for Rust. It mishandles sigstack allocation. Guest programs may be able to obtain sensitive information, or guest programs can experience memory corruption.

A heap out of bounds read vulnerability exists in the handling of IPTC data while parsing TIFF images in OpenImageIO v2.3.19.0. A specially-crafted TIFF file can cause a read of adjacent heap memory, which can leak sensitive process information. An attacker can provide a malicious file to trigger this vulnerability.

Possible buffer over-read in windows wlan driver function due to lack of check of length of variable received from userspace in Snapdragon Compute, Snapdragon Connectivity in MSM8998, QCA6390, SC7180, SC8180X, SDM850

u'Potential out of bounds read while processing downlink NAS transport message due to improper length check of Information Element(IEI) NAS message container' in Snapdragon Auto, Snapdragon Compute, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Wearables in Agatti, APQ8053, APQ8096AU, APQ8098, Kamorta, MDM9150, MDM9205, MDM9206, MDM9625, MDM9635M, MDM9640, MDM9645, MDM9650, MDM9655, MSM8905, MSM8909W, MSM8917, MSM8940, MSM8953, MSM8996AU, MSM8998, Nicobar, QCM2150, QCM6125, QCS605, QCS610, QM215, Rennell, SA415M, Saipan, SC7180, SC8180X, SDA660, SDA845, SDM429, SDM429W, SDM439, SDM450, SDM630, SDM632, SDM636, SDM660, SDM670, SDM710, SDM845, SDM850, SDX20, SDX24, SDX55, SM6150, SM7150, SM8150, SXR1130

Possible buffer over-read issue in windows x86 wlan driver function while processing beacon or request frame due to lack of check of length of variable received. in Snapdragon Compute, Snapdragon Connectivity in MSM8998, QCA6390, SC7180, SC8180X, SDM850

Possible null-pointer dereference can occur while parsing mp4 clip with corrupted sample table atoms in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wearables in APQ8009, APQ8017, APQ8053, APQ8096AU, APQ8098, Kamorta, MDM9206, MDM9207C, MDM9607, MSM8905, MSM8909W, MSM8917, MSM8920, MSM8937, MSM8940, MSM8953, MSM8996, MSM8996AU, MSM8998, QCA6574AU, QCS405, QCS605, QM215, Rennell, Saipan, SDA660, SDM429, SDM429W, SDM439, SDM450, SDM630, SDM632, SDM636, SDM660, SDM670, SDM710, SDM845, SDX20, SM6150, SM7150, SM8150, SM8250, SXR1130, SXR2130

A heap-based buffer overflow was found in libwebp in versions before 1.0.1 in ApplyFilter().

In JerryScript 2.3.0, there is an out-of-bounds read in main_print_unhandled_exception in the main-utils.c file.

An out-of-bounds read in the BGP daemon of FRRouting FRR before 8.4 may lead to a segmentation fault and denial of service. This occurs in bgp_capability_msg_parse in bgpd/bgp_packet.c.

TensorFlow is an open source platform for machine learning. The `GatherNd` function takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered. This issue has been patched in GitHub commit 4142e47e9e31db481781b955ed3ff807a781b494. 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. The `GatherNd` function takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read is triggered. This issue has been patched in GitHub commit 595a65a3e224a0362d7e68c2213acfc2b499a196. 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.

Versions of the package onnx before and including 1.15.0 are vulnerable to Out-of-bounds Read as the ONNX_ASSERT and ONNX_ASSERTM functions have an off by one string copy.

An issue was discovered in Mbed TLS before 2.28.1 and 3.x before 3.2.0. In some configurations, an unauthenticated attacker can send an invalid ClientHello message to a DTLS server that causes a heap-based buffer over-read of up to 255 bytes. This can cause a server crash or possibly information disclosure based on error responses. Affected configurations have MBEDTLS_SSL_DTLS_CLIENT_PORT_REUSE enabled and MBEDTLS_SSL_IN_CONTENT_LEN less than a threshold that depends on the configuration: 258 bytes if using mbedtls_ssl_cookie_check, and possibly up to 571 bytes with a custom cookie check function.

robdns commit d76d2e6 was discovered to contain a heap overflow via the component block->filename at /src/zonefile-insertion.c.

All versions of the package node-stringbuilder are vulnerable to Out-of-bounds Read due to incorrect memory length calculation, by calling ToBuffer, ToString, or CharAt on a StringBuilder object with a non-empty string value input. It's possible to return previously allocated memory, for example, by providing negative indexes, leading to an Information Disclosure.

Information Disclosure while parsing beacon frame in STA.

The affected product is vulnerable to an out-of-bounds read, which may allow an attacker to obtain and disclose sensitive data information or cause the device to crash on the OPC UA Tunneller (versions prior to 6.3.0.8233).

In wolfSSL prior to 5.6.6, if callback functions are enabled (via the WOLFSSL_CALLBACKS flag), then a malicious TLS client or network attacker can trigger a buffer over-read on the heap of 5 bytes (WOLFSSL_CALLBACKS is only intended for debugging).

An issue was discovered in Bftpd 5.3. Under certain circumstances, an out-of-bounds read is triggered due to an uninitialized value. The daemon crashes at startup in the hidegroups_init function in dirlist.c.

Nginx NJS v0.7.4 was discovered to contain an out-of-bounds read via njs_scope_value at njs_scope.h.

Out-of-bounds Read vulnerability in Mitsubishi Electric GENESIS64 versions 10.97 to 10.97.1, Mitsubishi Electric Iconics Digital Solutions GENESIS64 versions 10.97 to 10.97.1, Mitsubishi Electric ICONICS Suite versions 10.97 to 10.97.1, Mitsubishi Electric Iconics Digital Solutions ICONICS Suite versions 10.97 to 10.97.1, Mitsubishi Electric GENESIS32 versions 9.7 and prior, Mitsubishi Electric Iconics Digital Solutions GENESIS32 versions 9.7 and prior, and Mitsubishi Electric MC Works64 versions 4.04E and prior allows a remote unauthenticated attacker to disclose information on memory or cause a Denial of Service (DoS) condition by sending specially crafted packets to the GENESIS64, ICONICS Suite, GENESIS32, or MC Works64 server.

Vulnerability of missing input length verification in the distributed file system. Successful exploitation of this vulnerability may cause out-of-bounds read.

Out-of-bounds Read in GitHub repository gpac/gpac prior to 2.3-DEV.

An exploitable out-of-bounds read vulnerability exists in the way MiniSNMPD version 1.4 parses incoming SNMP packets. A specially crafted SNMP request can trigger an out-of-bounds memory read, which can result in the disclosure of sensitive information and denial of service. To trigger this vulnerability, an attacker needs to send a specially crafted packet to the vulnerable server.

An issue was discovered in the simple-slab crate before 0.3.3 for Rust. index() allows an out-of-bounds read.

A flaw was found in libwebp in versions before 1.0.1. An out-of-bounds read was found in function ChunkVerifyAndAssign. The highest threat from this vulnerability is to data confidentiality and to the service availability.

Information disclosure in Modem while processing SIB5.

A flaw was found in libwebp in versions before 1.0.1. An out-of-bounds read was found in function ChunkAssignData. The highest threat from this vulnerability is to data confidentiality and to the service availability.

HDF5 Library through 1.14.3 contains a out-of-bounds read operation in H5FL_arr_malloc in H5FL.c (called from H5S_set_extent_simple in H5S.c).

LuaJIT through 2.1 and OpenRusty luajit2 before v2.1-20240314 have an out-of-bounds read in the stack-overflow handler in lj_state.c.

unrar 0.0.1 (aka unrar-free or unrar-gpl) suffers from a stack-based buffer over-read in unrarlib.c, related to ExtrFile and stricomp.

An issue was discovered in FNET through 4.6.4. The code for processing resource records in mDNS queries doesn't check for proper '\0' termination of the resource record name string, leading to an out-of-bounds read, and potentially causing information leak or Denial-or-Service.

Out-of-bounds read was discovered in YDB server. An attacker could construct a query with insert statement that would allow him to read sensitive information from other memory locations or cause a crash.

An issue was discovered on Samsung mobile devices with software through 2020-04-02 (Exynos modem chipsets). There is a heap-based buffer over-read in the Shannon baseband. The Samsung ID is SVE-2020-17239 (August 2020).

Information disclosure in WLAN due to improper length check while processing authentication handshake in Snapdragon Auto, Snapdragon Connectivity, Snapdragon Consumer Electronics Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon IoT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wearables, Snapdragon Wired Infrastructure and Networking

JFreeChart v1.5.4 was discovered to contain a NullPointerException via the component /chart/annotations/CategoryLineAnnotation. NOTE: this is disputed by multiple third parties who believe there was not reasonable evidence to determine the existence of a vulnerability. The submission may have been based on a tool that is not sufficiently robust for vulnerability identification.

xrdp is an open source project which provides a graphical login to remote machines using Microsoft Remote Desktop Protocol (RDP). xrdp < v0.9.21 contain a Out of Bound Read in xrdp_mm_trans_process_drdynvc_channel_close() function. There are no known workarounds for this issue. Users are advised to upgrade.

xrdp is an open source project which provides a graphical login to remote machines using Microsoft Remote Desktop Protocol (RDP). xrdp < v0.9.21 contain a Out of Bound Read in libxrdp_send_to_channel() function. There are no known workarounds for this issue. Users are advised to upgrade.