Buffer Overflow vulnerability in Bento4 mp42avc v.3bdc891602d19789b8e8626e4a3e613a937b4d35 allows a local attacker to execute arbitrary code via the AP4_File::ParseStream and related functions.
TOTOLINK A810R V4.1.2cu.5182_B20201026 is vulnerable to Buffer Overflow in downloadFlile.cgi.
In the Linux kernel, the following vulnerability has been resolved: cifs: Fix buffer overflow when parsing NFS reparse points ReparseDataLength is sum of the InodeType size and DataBuffer size. So to get DataBuffer size it is needed to subtract InodeType's size from ReparseDataLength. Function cifs_strndup_from_utf16() is currentlly accessing buf->DataBuffer at position after the end of the buffer because it does not subtract InodeType size from the length. Fix this problem and correctly subtract variable len. Member InodeType is present only when reparse buffer is large enough. Check for ReparseDataLength before accessing InodeType to prevent another invalid memory access. Major and minor rdev values are present also only when reparse buffer is large enough. Check for reparse buffer size before calling reparse_mkdev().
In the Linux kernel, the following vulnerability has been resolved: drm/amdgpu: add missing size check in amdgpu_debugfs_gprwave_read() Avoid a possible buffer overflow if size is larger than 4K. (cherry picked from commit f5d873f5825b40d886d03bd2aede91d4cf002434)
Trusted Firmware M 1.4.x through 1.4.1 has a buffer overflow issue in the Firmware Update partition. In the IPC model, a psa_fwu_write caller from SPE or NSPE can overwrite stack memory locations.
Out of bound write in TZ while copying the secure dump structure on HLOS provided buffer as a part of memory dump in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wired Infrastructure and Networking in APQ8009, APQ8017, APQ8053, APQ8096, APQ8096AU, APQ8098, IPQ8074, MDM9150, MDM9206, MDM9607, MDM9650, MSM8905, MSM8909, MSM8917, MSM8920, MSM8937, MSM8940, MSM8953, MSM8976, MSM8996, MSM8996AU, MSM8998, QCA8081, QCS605, QM215, SDA660, SDA845, SDM429, SDM439, SDM450, SDM630, SDM632, SDM636, SDM660, SDM670, SDM710, SDM845, SDM850, Snapdragon_High_Med_2016, SXR1130
Buffer overflow due to improper validation of buffer size while IPA driver processing to perform read operation in Snapdragon Auto, Snapdragon Compute, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wearables in MDM9150, MDM9607, MDM9650, MSM8909W, MSM8996AU, QCS605, Qualcomm 215, SD 210/SD 212/SD 205, SD 425, SD 427, SD 430, SD 435, SD 439 / SD 429, SD 450, SD 625, SD 632, SD 636, SD 665, SD 675, SD 712 / SD 710 / SD 670, SD 730, SD 820, SD 820A, SD 835, SD 845 / SD 850, SD 855, SDA660, SDM439, SDM630, SDM660, SDX20, SDX24
A local buffer overflow vulnerability exists in the latest version of Miniftpd in ftpproto.c through the tmp variable, where a crafted payload can be sent to the affected function.
In the Linux kernel, the following vulnerability has been resolved: NFSD: Fix READDIR buffer overflow If a client sends a READDIR count argument that is too small (say, zero), then the buffer size calculation in the new init_dirlist helper functions results in an underflow, allowing the XDR stream functions to write beyond the actual buffer. This calculation has always been suspect. NFSD has never sanity- checked the READDIR count argument, but the old entry encoders managed the problem correctly. With the commits below, entry encoding changed, exposing the underflow to the pointer arithmetic in xdr_reserve_space(). Modern NFS clients attempt to retrieve as much data as possible for each READDIR request. Also, we have no unit tests that exercise the behavior of READDIR at the lower bound of @count values. Thus this case was missed during testing.
Memory corruption when IOCTL call is invoked from user-space to read board data.
A buffer overflow issue was addressed with improved memory handling. This issue is fixed in macOS Sonoma 14.6. An app may be able to execute arbitrary code with kernel privileges.
TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for the `Cudnn*` operations in TensorFlow can be tricked into accessing invalid memory, via a heap buffer overflow. This occurs because the ranks of the `input`, `input_h` and `input_c` parameters are not validated, but code assumes they have certain 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 buffer overflow issue was addressed with improved memory handling. This issue is fixed in macOS Sonoma 14.6. An app may be able to execute arbitrary code with kernel privileges.
Heap-based buffer overflow vulnerability in Assimp versions prior to 5.4.2 allows a local attacker to execute arbitrary code by inputting a specially crafted file into the product.
IBM DB2 for Linux, UNIX and Windows (includes DB2 Connect Server) 9.7, 10.1, 10.5, and 11.1 is vulnerable to a buffer overflow, which could allow an authenticated local attacker to execute arbitrary code on the system as root. IBM X-Force ID: 155892.
Possible buffer overflow in voice service due to lack of input validation of parameters in QMI Voice API in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon IoT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wearables
u'Possible buffer overflow in WIFI hal process due to usage of memcpy without checking length of destination buffer' in Snapdragon Auto, Snapdragon Compute, Snapdragon Industrial IOT, Snapdragon Mobile in QCM4290, QCS4290, QM215, QSM8350, SA6145P, SA6155, SA6155P, SA8155, SA8155P, SC8180X, SC8180XP, SDX55, SDX55M, SM4250, SM4250P, SM6115, SM6115P, SM6125, SM6250, SM6350, SM7125, SM7225, SM7250, SM7250P, SM8150, SM8150P, SM8250, SM8350, SM8350P, SXR2130, SXR2130P
IBM DB2 High Performance Unload load for LUW 6.1 and 6.5 is vulnerable to a buffer overflow, caused by improper bounds checking which could allow a local attacker to execute arbitrary code on the system with root privileges. IBM X-Force ID: 165481.
Memory corruption while processing camera use case IOCTL call.
NXP MCUXpresso SDK v2.7.0 was discovered to contain a buffer overflow in the function USB_HostProcessCallback().
In drivers/char/virtio_console.c in the Linux kernel before 5.13.4, data corruption or loss can be triggered by an untrusted device that supplies a buf->len value exceeding the buffer size. NOTE: the vendor indicates that the cited data corruption is not a vulnerability in any existing use case; the length validation was added solely for robustness in the face of anomalous host OS behavior
In the Linux kernel, the following vulnerability has been resolved: kdb: Fix buffer overflow during tab-complete Currently, when the user attempts symbol completion with the Tab key, kdb will use strncpy() to insert the completed symbol into the command buffer. Unfortunately it passes the size of the source buffer rather than the destination to strncpy() with predictably horrible results. Most obviously if the command buffer is already full but cp, the cursor position, is in the middle of the buffer, then we will write past the end of the supplied buffer. Fix this by replacing the dubious strncpy() calls with memmove()/memcpy() calls plus explicit boundary checks to make sure we have enough space before we start moving characters around.
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation for `tf.raw_ops.ExperimentalDatasetToTFRecord` and `tf.raw_ops.DatasetToTFRecord` can trigger heap buffer overflow and segmentation fault. The [implementation](https://github.com/tensorflow/tensorflow/blob/f24faa153ad31a4b51578f8181d3aaab77a1ddeb/tensorflow/core/kernels/data/experimental/to_tf_record_op.cc#L93-L102) assumes that all records in the dataset are of string type. However, there is no check for that, and the example given above uses numeric types. We have patched the issue in GitHub commit e0b6e58c328059829c3eb968136f17aa72b6c876. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
Memory corruption in BT controller due to improper length check while processing vendor specific commands in Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer Electronics Connectivity, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Wired Infrastructure and Networking
Qihoo 360 (https://www.360.cn/) Qihoo 360 Safeguard (https://www.360.cn/) Qihoo 360 Total Security (http://www.360totalsecurity.com/) is affected by: Buffer Overflow. The impact is: execute arbitrary code (local). The component is: This is a set of vulnerabilities affecting popular software, "360 Safeguard(12.1.0.1004,12.1.0.1005,13.1.0.1001)" , "360 Total Security(10.8.0.1060,10.8.0.1213)", "360 Safe Browser & 360 Chrome(13.0.2170.0)". The attack vector is: On the browser vulnerability, just open a link to complete the vulnerability exploitation remotely; on the client software, you need to locally execute the vulnerability exploitation program, which of course can be achieved with the full chain of browser vulnerability. ¶¶ This is a set of the most serious vulnerabilities that exist on Qihoo 360's PC client a variety of popular software, remote vulnerabilities can be completed by opening a link to arbitrary code execution on both security browsers, with the use of local vulnerabilities, not only help the vulnerability code constitutes an escalation of privileges, er can make the spyware persistent without being scanned permanently resides on the target PC computer (because local vulnerability against Qihoo 360 company's antivirus kernel flaws); this group of remote and local vulnerability of the perfect match, to achieve an information security fallacy, in Qihoo 360's antivirus vulnerability, not only can not be scanned out of the virus, but will help the virus persistently control the target computer, while Qihoo 360 claims to be a safe browser, which exists in the kernel vulnerability but helped the composition of the remote vulnerability. (Security expert "Memory Corruptor" have reported this set of vulnerabilities to the corresponding vendor, all vulnerabilities have been fixed and the vendor rewarded thousands of dollars to the security experts)
Memory corruption while station LL statistic handling.
Possible buffer overflow due to lack of input IB amount validation while processing the user command in Snapdragon Auto
Memory corruption while processing GPU page table switch.
Possible buffer overflow due to lack of validation for the length of NAI string read from EFS in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Mobile
A potential buffer overflow in the software drivers for certain HP LaserJet products and Samsung product printers could lead to an escalation of privilege.
IBM DB2 for Linux, UNIX and Windows (includes DB2 Connect Server) 9.7, 10.1, 10.5, and 11.1 is vulnerable to a buffer overflow, which could allow an authenticated local attacker to execute arbitrary code on the system as root. IBM X-ForceID: 155894.
In construct_transaction_from_cmd of lwis_ioctl.c, there is a possible out of bounds write due to a heap buffer overflow. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.
Possible heap overflow due to improper validation of local variable while storing current task information locally in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Wearables
Possible heap Memory Corruption Issue due to lack of input validation when sending HWTC IQ Capture command in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wearables
Improper validation of maximum size of data write to EFS file can lead to memory corruption in Snapdragon Auto, Snapdragon Compute, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wearables
Improper validation of input when provisioning the HDCP key can lead to memory corruption in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Voice & Music, Snapdragon Wearables
Possible out of bound access due to improper validation of item size and DIAG memory pools data while switching between USB and PCIE interface in Snapdragon Auto, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wearables, Snapdragon Wired Infrastructure and Networking
Improper size validation of QXDM commands can lead to memory corruption in Snapdragon Compute, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile
Possible buffer overflow while printing the HARQ memory partition detail due to improper validation of buffer size in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile
Possible buffer overflow due to lack of buffer length check when segmented WMI command is received in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer Electronics Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wired Infrastructure and Networking
TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a heap buffer overflow in Eigen implementation of `tf.raw_ops.BandedTriangularSolve`. The implementation(https://github.com/tensorflow/tensorflow/blob/eccb7ec454e6617738554a255d77f08e60ee0808/tensorflow/core/kernels/linalg/banded_triangular_solve_op.cc#L269-L278) calls `ValidateInputTensors` for input validation but fails to validate that the two tensors are not empty. Furthermore, since `OP_REQUIRES` macro only stops execution of current function after setting `ctx->status()` to a non-OK value, callers of helper functions that use `OP_REQUIRES` must check value of `ctx->status()` before continuing. This doesn't happen in this op's implementation(https://github.com/tensorflow/tensorflow/blob/eccb7ec454e6617738554a255d77f08e60ee0808/tensorflow/core/kernels/linalg/banded_triangular_solve_op.cc#L219), hence the validation that is present is also not effective. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Memory corruption when user provides data for FM HCI command control operations.
Memory corruption during the handshake between the Primary Virtual Machine and Trusted Virtual Machine.
An issue was discovered in the Linux kernel through 5.11.8. The sound/soc/qcom/sdm845.c soundwire device driver has a buffer overflow when an unexpected port ID number is encountered, aka CID-1c668e1c0a0f. (This has been fixed in 5.12-rc4.)
Memory corruption when Alternative Frequency offset value is set to 255.
Buffer overflow in the clusterip_proc_write function in net/ipv4/netfilter/ipt_CLUSTERIP.c in the Linux kernel before 2.6.39 might allow local users to cause a denial of service or have unspecified other impact via a crafted write operation, related to string data that lacks a terminating '\0' character.
TensorFlow is an end-to-end open source platform for machine learning. Missing validation between arguments to `tf.raw_ops.Conv3DBackprop*` operations can result in heap buffer overflows. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/4814fafb0ca6b5ab58a09411523b2193fed23fed/tensorflow/core/kernels/conv_grad_shape_utils.cc#L94-L153) assumes that the `input`, `filter_sizes` and `out_backprop` tensors have the same shape, as they are accessed in parallel. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
TensorFlow is an end-to-end open source platform for machine learning. If the `splits` argument of `RaggedBincount` does not specify a valid `SparseTensor`(https://www.tensorflow.org/api_docs/python/tf/sparse/SparseTensor), then an attacker can trigger a heap buffer overflow. This will cause a read from outside the bounds of the `splits` tensor buffer in the implementation of the `RaggedBincount` op(https://github.com/tensorflow/tensorflow/blob/8b677d79167799f71c42fd3fa074476e0295413a/tensorflow/core/kernels/bincount_op.cc#L430-L433). Before the `for` loop, `batch_idx` is set to 0. The user controls the `splits` array, making it contain only one element, 0. Thus, the code in the `while` loop would increment `batch_idx` and then try to read `splits(1)`, which is outside of bounds. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 and TensorFlow 2.3.3, as these are also affected.
The POSIX component of Microsoft Windows NT and Windows 2000 allows local users to execute arbitrary code via certain parameters, possibly by modifying message length values and causing a buffer overflow.
The SQLDriverConnect() function in unixODBC before 2.2.14p2 have a possible buffer overflow condition when specifying a large value for SAVEFILE parameter in the connection string.