Vulnerability Detection with Code Language Models: How Far Are We?
Paper • 2403.18624 • Published
idx int64 | project string | commit_id string | project_url string | commit_url string | commit_message string | target int64 | func string | func_hash string | file_name string | file_hash string | cwe string | cve string | cve_desc string | nvd_url string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
194,963 | ImageMagick6 | dc070da861a015d3c97488fdcca6063b44d47a7b | https://github.com/ImageMagick/ImageMagick6 | https://github.com/ImageMagick/ImageMagick6/commit/dc070da861a015d3c97488fdcca6063b44d47a7b | https://github.com/ImageMagick/ImageMagick/pull/5034 | 1 | static MagickBooleanType GetEXIFProperty(const Image *image,
const char *property)
{
#define MaxDirectoryStack 16
#define EXIF_DELIMITER "\n"
#define EXIF_NUM_FORMATS 12
#define EXIF_FMT_BYTE 1
#define EXIF_FMT_STRING 2
#define EXIF_FMT_USHORT 3
#define EXIF_FMT_ULONG 4
#define EXIF_FMT_URATIONAL 5
#define EX... | 292096308156704952246887123009503225331 | property.c | 122751008107964047346147343124174074065 | CWE-704 | CVE-2022-32547 | In ImageMagick, there is load of misaligned address for type 'double', which requires 8 byte alignment and for type 'float', which requires 4 byte alignment at MagickCore/property.c. Whenever crafted or untrusted input is processed by ImageMagick, this causes a negative impact to application availability or other probl... | https://nvd.nist.gov/vuln/detail/CVE-2022-32547 |
217,569 | ImageMagick6 | dc070da861a015d3c97488fdcca6063b44d47a7b | https://github.com/ImageMagick/ImageMagick6 | https://github.com/ImageMagick/ImageMagick6/commit/dc070da861a015d3c97488fdcca6063b44d47a7b | https://github.com/ImageMagick/ImageMagick/pull/5034 | 0 | static MagickBooleanType GetEXIFProperty(const Image *image,
const char *property)
{
#define MaxDirectoryStack 16
#define EXIF_DELIMITER "\n"
#define EXIF_NUM_FORMATS 12
#define EXIF_FMT_BYTE 1
#define EXIF_FMT_STRING 2
#define EXIF_FMT_USHORT 3
#define EXIF_FMT_ULONG 4
#define EXIF_FMT_URATIONAL 5
#define EX... | 75422468811560646183620950160304672170 | property.c | 320426917520707901134127411021604962567 | CWE-704 | CVE-2022-32547 | In ImageMagick, there is load of misaligned address for type 'double', which requires 8 byte alignment and for type 'float', which requires 4 byte alignment at MagickCore/property.c. Whenever crafted or untrusted input is processed by ImageMagick, this causes a negative impact to application availability or other probl... | https://nvd.nist.gov/vuln/detail/CVE-2022-32547 |
194,989 | ImageMagick6 | 450949ed017f009b399c937cf362f0058eacc5fa | https://github.com/ImageMagick/ImageMagick6 | https://github.com/ImageMagick/ImageMagick6/commit/450949ed017f009b399c937cf362f0058eacc5fa | Pull request: https://github.com/ImageMagick/ImageMagick/pull/4963 | 1 | static MagickBooleanType ReadPSDChannelPixels(Image *image,
const size_t channels,const ssize_t row,const ssize_t type,
const unsigned char *pixels,ExceptionInfo *exception)
{
Quantum
pixel;
const unsigned char
*p;
IndexPacket
*indexes;
PixelPacket
*q;
ssize_t
x;
size_t
pack... | 50584299779312396054491404176852470969 | psd.c | 159316916509494023086155162326374999236 | CWE-190 | CVE-2022-32545 | A vulnerability was found in ImageMagick, causing an outside the range of representable values of type 'unsigned char' at coders/psd.c, when crafted or untrusted input is processed. This leads to a negative impact to application availability or other problems related to undefined behavior. | https://nvd.nist.gov/vuln/detail/CVE-2022-32545 |
218,785 | ImageMagick6 | 450949ed017f009b399c937cf362f0058eacc5fa | https://github.com/ImageMagick/ImageMagick6 | https://github.com/ImageMagick/ImageMagick6/commit/450949ed017f009b399c937cf362f0058eacc5fa | Pull request: https://github.com/ImageMagick/ImageMagick/pull/4963 | 0 | static MagickBooleanType ReadPSDChannelPixels(Image *image,
const size_t channels,const ssize_t row,const ssize_t type,
const unsigned char *pixels,ExceptionInfo *exception)
{
Quantum
pixel;
const unsigned char
*p;
IndexPacket
*indexes;
PixelPacket
*q;
ssize_t
x;
size_t
pack... | 177518249272594340059836567736761123364 | psd.c | 226732625250511916284298083592366716300 | CWE-190 | CVE-2022-32545 | A vulnerability was found in ImageMagick, causing an outside the range of representable values of type 'unsigned char' at coders/psd.c, when crafted or untrusted input is processed. This leads to a negative impact to application availability or other problems related to undefined behavior. | https://nvd.nist.gov/vuln/detail/CVE-2022-32545 |
194,996 | tensorflow | 4f38b1ac8e42727e18a2f0bde06d3bee8e77b250 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/4f38b1ac8e42727e18a2f0bde06d3bee8e77b250 | Prevent null dereference read in `GetInitOp`.
We have a map of maps. We test that the key exists in the first map but then we don't have any validation that this also means the second map has the needed key. In the scenarios where this is not the case, we'll dereference a nullptr, if we don't have this check
PiperOri... | 1 | Status GetInitOp(const string& export_dir, const MetaGraphDef& meta_graph_def,
string* init_op_name) {
const auto& sig_def_map = meta_graph_def.signature_def();
const auto& init_op_sig_it =
meta_graph_def.signature_def().find(kSavedModelInitOpSignatureKey);
if (init_op_sig_it != sig_def_map... | 90320046309155279319769139363770698236 | loader_util.cc | 223638670651747648145854147173893848422 | CWE-476 | CVE-2022-23577 | Tensorflow is an Open Source Machine Learning Framework. The implementation of `GetInitOp` is vulnerable to a crash caused by dereferencing a null pointer. 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 aff... | https://nvd.nist.gov/vuln/detail/CVE-2022-23577 |
218,933 | tensorflow | 4f38b1ac8e42727e18a2f0bde06d3bee8e77b250 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/4f38b1ac8e42727e18a2f0bde06d3bee8e77b250 | Prevent null dereference read in `GetInitOp`.
We have a map of maps. We test that the key exists in the first map but then we don't have any validation that this also means the second map has the needed key. In the scenarios where this is not the case, we'll dereference a nullptr, if we don't have this check
PiperOri... | 0 | Status GetInitOp(const string& export_dir, const MetaGraphDef& meta_graph_def,
string* init_op_name) {
const auto& sig_def_map = meta_graph_def.signature_def();
const auto& init_op_sig_it =
meta_graph_def.signature_def().find(kSavedModelInitOpSignatureKey);
if (init_op_sig_it != sig_def_map... | 120370294428908534368713689048437773064 | loader_util.cc | 225205642200693417259460288987767726126 | CWE-476 | CVE-2022-23577 | Tensorflow is an Open Source Machine Learning Framework. The implementation of `GetInitOp` is vulnerable to a crash caused by dereferencing a null pointer. 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 aff... | https://nvd.nist.gov/vuln/detail/CVE-2022-23577 |
195,017 | gpac | ad18ece95fa064efc0995c4ab2c985f77fb166ec | https://github.com/gpac/gpac | https://github.com/gpac/gpac/commit/ad18ece95fa064efc0995c4ab2c985f77fb166ec | fixed #1904 | 1 | u32 GetHintFormat(GF_TrackBox *trak)
{
GF_HintMediaHeaderBox *hmhd = (GF_HintMediaHeaderBox *)trak->Media->information->InfoHeader;
if (hmhd->type != GF_ISOM_BOX_TYPE_HMHD)
return 0;
if (!hmhd || !hmhd->subType) {
GF_Box *a = (GF_Box *)gf_list_get(trak->Media->information->sampleTable->SampleDescription->chil... | 91218268849686441388880855658517990203 | hint_track.c | 60176895274654779679144452624639678766 | CWE-476 | CVE-2021-40576 | The binary MP4Box in Gpac 1.0.1 has a null pointer dereference vulnerability in the gf_isom_get_payt_count function in hint_track.c, which allows attackers to cause a denial of service. | https://nvd.nist.gov/vuln/detail/CVE-2021-40576 |
219,912 | gpac | ad18ece95fa064efc0995c4ab2c985f77fb166ec | https://github.com/gpac/gpac | https://github.com/gpac/gpac/commit/ad18ece95fa064efc0995c4ab2c985f77fb166ec | fixed #1904 | 0 | u32 GetHintFormat(GF_TrackBox *trak)
{
GF_HintMediaHeaderBox *hmhd = (GF_HintMediaHeaderBox *)trak->Media->information->InfoHeader;
if (!hmhd || (hmhd->type != GF_ISOM_BOX_TYPE_HMHD))
return 0;
if (!hmhd || !hmhd->subType) {
GF_Box *a = (GF_Box *)gf_list_get(trak->Media->information->sampleTable->SampleDescri... | 240641657114030682383886931707833033482 | hint_track.c | 28976036322661795345788739460485147148 | CWE-476 | CVE-2021-40576 | The binary MP4Box in Gpac 1.0.1 has a null pointer dereference vulnerability in the gf_isom_get_payt_count function in hint_track.c, which allows attackers to cause a denial of service. | https://nvd.nist.gov/vuln/detail/CVE-2021-40576 |
195,026 | linux | ab0fc21bc7105b54bafd85bd8b82742f9e68898a | https://github.com/torvalds/linux | https://github.com/torvalds/linux/commit/ab0fc21bc7105b54bafd85bd8b82742f9e68898a | Revert "NFSv4: Handle the special Linux file open access mode"
This reverts commit 44942b4e457beda00981f616402a1a791e8c616e.
After secondly opening a file with O_ACCMODE|O_DIRECT flags,
nfs4_valid_open_stateid() will dereference NULL nfs4_state when lseek().
Reproducer:
1. mount -t nfs -o vers=4.2 $server_ip:/ /mn... | 1 | nfs4_file_open(struct inode *inode, struct file *filp)
{
struct nfs_open_context *ctx;
struct dentry *dentry = file_dentry(filp);
struct dentry *parent = NULL;
struct inode *dir;
unsigned openflags = filp->f_flags;
struct iattr attr;
int err;
/*
* If no cached dentry exists or if it's negative, NFSv4 handled... | 67846125552854891508125900978071958871 | nfs4file.c | 109456154040292488452120321326967957719 | CWE-909 | CVE-2022-24448 | An issue was discovered in fs/nfs/dir.c in the Linux kernel before 5.16.5. If an application sets the O_DIRECTORY flag, and tries to open a regular file, nfs_atomic_open() performs a regular lookup. If a regular file is found, ENOTDIR should occur, but the server instead returns uninitialized data in the file descripto... | https://nvd.nist.gov/vuln/detail/CVE-2022-24448 |
220,100 | linux | ab0fc21bc7105b54bafd85bd8b82742f9e68898a | https://github.com/torvalds/linux | https://github.com/torvalds/linux/commit/ab0fc21bc7105b54bafd85bd8b82742f9e68898a | Revert "NFSv4: Handle the special Linux file open access mode"
This reverts commit 44942b4e457beda00981f616402a1a791e8c616e.
After secondly opening a file with O_ACCMODE|O_DIRECT flags,
nfs4_valid_open_stateid() will dereference NULL nfs4_state when lseek().
Reproducer:
1. mount -t nfs -o vers=4.2 $server_ip:/ /mn... | 0 | nfs4_file_open(struct inode *inode, struct file *filp)
{
struct nfs_open_context *ctx;
struct dentry *dentry = file_dentry(filp);
struct dentry *parent = NULL;
struct inode *dir;
unsigned openflags = filp->f_flags;
struct iattr attr;
int err;
/*
* If no cached dentry exists or if it's negative, NFSv4 handled... | 272987829557105540879962051296017178836 | nfs4file.c | 19160442996144037090827134285929888626 | CWE-909 | CVE-2022-24448 | An issue was discovered in fs/nfs/dir.c in the Linux kernel before 5.16.5. If an application sets the O_DIRECTORY flag, and tries to open a regular file, nfs_atomic_open() performs a regular lookup. If a regular file is found, ENOTDIR should occur, but the server instead returns uninitialized data in the file descripto... | https://nvd.nist.gov/vuln/detail/CVE-2022-24448 |
195,038 | mruby | 27d1e0132a0804581dca28df042e7047fd27eaa8 | https://github.com/mruby/mruby | https://github.com/mruby/mruby/commit/27d1e0132a0804581dca28df042e7047fd27eaa8 | array.c: fix `mrb_ary_shift_m` initialization bug.
The `ARY_PTR` and `ARY_LEN` may be modified in `mrb_get_args`. | 1 | mrb_ary_shift_m(mrb_state *mrb, mrb_value self)
{
struct RArray *a = mrb_ary_ptr(self);
mrb_int len = ARY_LEN(a);
mrb_int n;
mrb_value val;
if (mrb_get_args(mrb, "|i", &n) == 0) {
return mrb_ary_shift(mrb, self);
};
ary_modify_check(mrb, a);
if (len == 0 || n == 0) return mrb_ary_new(mrb);
if (n ... | 88987793594626442814152795226896894437 | array.c | 131985777969528154957566525214352537878 | CWE-476 | CVE-2021-4188 | mruby is vulnerable to NULL Pointer Dereference | https://nvd.nist.gov/vuln/detail/CVE-2021-4188 |
220,442 | mruby | 27d1e0132a0804581dca28df042e7047fd27eaa8 | https://github.com/mruby/mruby | https://github.com/mruby/mruby/commit/27d1e0132a0804581dca28df042e7047fd27eaa8 | array.c: fix `mrb_ary_shift_m` initialization bug.
The `ARY_PTR` and `ARY_LEN` may be modified in `mrb_get_args`. | 0 | mrb_ary_shift_m(mrb_state *mrb, mrb_value self)
{
mrb_int n;
if (mrb_get_args(mrb, "|i", &n) == 0) {
return mrb_ary_shift(mrb, self);
}
struct RArray *a = mrb_ary_ptr(self);
mrb_int len = ARY_LEN(a);
mrb_value val;
ary_modify_check(mrb, a);
if (len == 0 || n == 0) return mrb_ary_new(mrb);
if (n... | 336824346603495353101799104649854425750 | array.c | 295526445825727607536544634773604768998 | CWE-476 | CVE-2021-4188 | mruby is vulnerable to NULL Pointer Dereference | https://nvd.nist.gov/vuln/detail/CVE-2021-4188 |
195,039 | tensorflow | e7f497570abb6b4ae5af4970620cd880e4c0c904 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/e7f497570abb6b4ae5af4970620cd880e4c0c904 | Fix segfault on OOM in Conv2D.
PiperOrigin-RevId: 404655317
Change-Id: I33588dbd3f5d0fef980e3c908bf5515a9ee09ce7 | 1 | void operator()(OpKernelContext* ctx, const Tensor& input,
const Tensor& filter, int row_stride, int col_stride,
int row_dilation, int col_dilation, const Padding& padding,
const std::vector<int64_t>& explicit_paddings, Tensor* output,
TensorForm... | 257618220779157714024325768166416151732 | conv_ops.cc | 252300068611383622428481854806618645318 | CWE-354 | CVE-2021-41206 | TensorFlow is an open source platform for machine learning. In affected versions several TensorFlow operations are missing validation for the shapes of the tensor arguments involved in the call. Depending on the API, this can result in undefined behavior and segfault or `CHECK`-fail related crashes but in some scenario... | https://nvd.nist.gov/vuln/detail/CVE-2021-41206 |
220,449 | tensorflow | e7f497570abb6b4ae5af4970620cd880e4c0c904 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/e7f497570abb6b4ae5af4970620cd880e4c0c904 | Fix segfault on OOM in Conv2D.
PiperOrigin-RevId: 404655317
Change-Id: I33588dbd3f5d0fef980e3c908bf5515a9ee09ce7 | 0 | void operator()(OpKernelContext* ctx, const Tensor& input,
const Tensor& filter, int row_stride, int col_stride,
int row_dilation, int col_dilation, const Padding& padding,
const std::vector<int64_t>& explicit_paddings, Tensor* output,
TensorForm... | 52476148530312265483336987277784785500 | conv_ops.cc | 162425470101834995272420301327894414264 | CWE-354 | CVE-2021-41206 | TensorFlow is an open source platform for machine learning. In affected versions several TensorFlow operations are missing validation for the shapes of the tensor arguments involved in the call. Depending on the API, this can result in undefined behavior and segfault or `CHECK`-fail related crashes but in some scenario... | https://nvd.nist.gov/vuln/detail/CVE-2021-41206 |
195,055 | tensorflow | 2b7100d6cdff36aa21010a82269bc05a6d1cc74a | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/2b7100d6cdff36aa21010a82269bc05a6d1cc74a | Cleanup and remove duplicate validation in `SparseCount`.
We have valdiation that is duplicated, checking different conditions, in different formats and failing to capture all cases. This should fix all the previous bugs.
PiperOrigin-RevId: 414886981
Change-Id: Ibf0bba0beb057b76d505324bb9487565daf95f01 | 1 | void Compute(OpKernelContext* context) override {
const Tensor& indices = context->input(0);
const Tensor& values = context->input(1);
const Tensor& shape = context->input(2);
const Tensor& weights = context->input(3);
bool use_weights = weights.NumElements() > 0;
OP_REQUIRES(context, TensorS... | 115744370413617881150207979427400512016 | count_ops.cc | 290832582717285970119064032382621433475 | CWE-787 | CVE-2022-21740 | Tensorflow is an Open Source Machine Learning Framework. The implementation of `SparseCountSparseOutput` is vulnerable to a heap overflow. 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 i... | https://nvd.nist.gov/vuln/detail/CVE-2022-21740 |
220,804 | tensorflow | 2b7100d6cdff36aa21010a82269bc05a6d1cc74a | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/2b7100d6cdff36aa21010a82269bc05a6d1cc74a | Cleanup and remove duplicate validation in `SparseCount`.
We have valdiation that is duplicated, checking different conditions, in different formats and failing to capture all cases. This should fix all the previous bugs.
PiperOrigin-RevId: 414886981
Change-Id: Ibf0bba0beb057b76d505324bb9487565daf95f01 | 0 | void Compute(OpKernelContext* context) override {
const Tensor& splits = context->input(0);
const Tensor& values = context->input(1);
const Tensor& weights = context->input(2);
bool use_weights = weights.NumElements() > 0;
bool is_1d = false;
if (use_weights) {
OP_REQUIRES(
co... | 321329284400462468105618833406255634390 | count_ops.cc | 221778566959720819887290009238961995785 | CWE-787 | CVE-2022-21740 | Tensorflow is an Open Source Machine Learning Framework. The implementation of `SparseCountSparseOutput` is vulnerable to a heap overflow. 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 i... | https://nvd.nist.gov/vuln/detail/CVE-2022-21740 |
195,056 | tensorflow | 8c6f391a2282684a25cbfec7687bd5d35261a209 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/8c6f391a2282684a25cbfec7687bd5d35261a209 | [lite] Add check for bias_size is zero to avoid division by zero. This shouldn't happen for properly converted models. Just safety check
PiperOrigin-RevId: 416383645
Change-Id: If8e508bf696ae8ecfb927e69c139a8ccf7fe60cb | 1 | inline void BiasAndClamp(float clamp_min, float clamp_max, int bias_size,
const float* bias_data, int array_size,
float* array_data) {
// Note: see b/132215220: in May 2019 we thought it would be OK to replace
// this with the Eigen one-liner:
// return (array.c... | 154263320578941255259441922880599149557 | common.h | 11373796702176609664888229687660280569 | CWE-369 | CVE-2022-23557 | Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would trigger a division by zero in `BiasAndClamp` implementation. There is no check that the `bias_size` is non zero. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1,... | https://nvd.nist.gov/vuln/detail/CVE-2022-23557 |
220,841 | tensorflow | 8c6f391a2282684a25cbfec7687bd5d35261a209 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/8c6f391a2282684a25cbfec7687bd5d35261a209 | [lite] Add check for bias_size is zero to avoid division by zero. This shouldn't happen for properly converted models. Just safety check
PiperOrigin-RevId: 416383645
Change-Id: If8e508bf696ae8ecfb927e69c139a8ccf7fe60cb | 0 | inline void BiasAndClamp(float clamp_min, float clamp_max, int bias_size,
const float* bias_data, int array_size,
float* array_data) {
if (bias_size == 0) return;
// Note: see b/132215220: in May 2019 we thought it would be OK to replace
// this with the Eigen one... | 163406073569204971648641083480315438791 | common.h | 206010119069068373550820723284960883967 | CWE-369 | CVE-2022-23557 | Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would trigger a division by zero in `BiasAndClamp` implementation. There is no check that the `bias_size` is non zero. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1,... | https://nvd.nist.gov/vuln/detail/CVE-2022-23557 |
195,074 | gpac | a69b567b8c95c72f9560c873c5ab348be058f340 | https://github.com/gpac/gpac | https://github.com/gpac/gpac/commit/a69b567b8c95c72f9560c873c5ab348be058f340 | fixed #1895 | 1 | GF_AV1Config *gf_odf_av1_cfg_read_bs_size(GF_BitStream *bs, u32 size)
{
#ifndef GPAC_DISABLE_AV_PARSERS
AV1State state;
u8 reserved;
GF_AV1Config *cfg;
if (!size) size = (u32) gf_bs_available(bs);
if (!size) return NULL;
cfg = gf_odf_av1_cfg_new();
gf_av1_init_state(&state);
state.config = cfg;
cfg->marker ... | 270972574846681061752900592460657064315 | descriptors.c | 100253523943266503998746709370742625478 | CWE-415 | CVE-2021-40571 | The binary MP4Box in Gpac 1.0.1 has a double-free vulnerability in the ilst_box_read function in box_code_apple.c, which allows attackers to cause a denial of service, even code execution and escalation of privileges. | https://nvd.nist.gov/vuln/detail/CVE-2021-40571 |
221,160 | gpac | a69b567b8c95c72f9560c873c5ab348be058f340 | https://github.com/gpac/gpac | https://github.com/gpac/gpac/commit/a69b567b8c95c72f9560c873c5ab348be058f340 | fixed #1895 | 0 | GF_AV1Config *gf_odf_av1_cfg_read_bs_size(GF_BitStream *bs, u32 size)
{
#ifndef GPAC_DISABLE_AV_PARSERS
AV1State state;
u8 reserved;
GF_AV1Config *cfg;
if (!size) size = (u32) gf_bs_available(bs);
if (!size) return NULL;
cfg = gf_odf_av1_cfg_new();
gf_av1_init_state(&state);
state.config = cfg;
cfg->marker ... | 161782515383812350901831460771265303089 | descriptors.c | 86476492964393375980272696403064975409 | CWE-415 | CVE-2021-40571 | The binary MP4Box in Gpac 1.0.1 has a double-free vulnerability in the ilst_box_read function in box_code_apple.c, which allows attackers to cause a denial of service, even code execution and escalation of privileges. | https://nvd.nist.gov/vuln/detail/CVE-2021-40571 |
195,082 | linux | c7dfa4009965a9b2d7b329ee970eb8da0d32f0bc | https://github.com/torvalds/linux | https://github.com/torvalds/linux/commit/c7dfa4009965a9b2d7b329ee970eb8da0d32f0bc | KVM: nSVM: always intercept VMLOAD/VMSAVE when nested (CVE-2021-3656)
If L1 disables VMLOAD/VMSAVE intercepts, and doesn't enable
Virtual VMLOAD/VMSAVE (currently not supported for the nested hypervisor),
then VMLOAD/VMSAVE must operate on the L1 physical memory, which is only
possible by making L0 intercept these ins... | 1 | void recalc_intercepts(struct vcpu_svm *svm)
{
struct vmcb_control_area *c, *h, *g;
unsigned int i;
vmcb_mark_dirty(svm->vmcb, VMCB_INTERCEPTS);
if (!is_guest_mode(&svm->vcpu))
return;
c = &svm->vmcb->control;
h = &svm->vmcb01.ptr->control;
g = &svm->nested.ctl;
for (i = 0; i < MAX_INTERCEPT; i++)
c->in... | 308018010909685377463219146239861290533 | None | CWE-862 | CVE-2021-3656 | A flaw was found in the KVM's AMD code for supporting SVM nested virtualization. The flaw occurs when processing the VMCB (virtual machine control block) provided by the L1 guest to spawn/handle a nested guest (L2). Due to improper validation of the "virt_ext" field, this issue could allow a malicious L1 to disable bot... | https://nvd.nist.gov/vuln/detail/CVE-2021-3656 | |
221,413 | linux | c7dfa4009965a9b2d7b329ee970eb8da0d32f0bc | https://github.com/torvalds/linux | https://github.com/torvalds/linux/commit/c7dfa4009965a9b2d7b329ee970eb8da0d32f0bc | KVM: nSVM: always intercept VMLOAD/VMSAVE when nested (CVE-2021-3656)
If L1 disables VMLOAD/VMSAVE intercepts, and doesn't enable
Virtual VMLOAD/VMSAVE (currently not supported for the nested hypervisor),
then VMLOAD/VMSAVE must operate on the L1 physical memory, which is only
possible by making L0 intercept these ins... | 0 | void recalc_intercepts(struct vcpu_svm *svm)
{
struct vmcb_control_area *c, *h, *g;
unsigned int i;
vmcb_mark_dirty(svm->vmcb, VMCB_INTERCEPTS);
if (!is_guest_mode(&svm->vcpu))
return;
c = &svm->vmcb->control;
h = &svm->vmcb01.ptr->control;
g = &svm->nested.ctl;
for (i = 0; i < MAX_INTERCEPT; i++)
c->in... | 61346983903340748153155985789359366401 | None | CWE-862 | CVE-2021-3656 | A flaw was found in the KVM's AMD code for supporting SVM nested virtualization. The flaw occurs when processing the VMCB (virtual machine control block) provided by the L1 guest to spawn/handle a nested guest (L2). Due to improper validation of the "virt_ext" field, this issue could allow a malicious L1 to disable bot... | https://nvd.nist.gov/vuln/detail/CVE-2021-3656 | |
195,083 | tensorflow | 5b491cd5e41ad63735161cec9c2a568172c8b6a3 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/5b491cd5e41ad63735161cec9c2a568172c8b6a3 | Validate `proto.dtype()` before calling `set_dtype()`.
This prevents a `DCHECK`-fail when the proto contains an invalid dtype for a tensor shape with 0 elements or for an incomplete tensor shape.
PiperOrigin-RevId: 408369083
Change-Id: Ia21a3e3d62a90d642a4561f08f3b543e5ad00c46 | 1 | bool Tensor::FromProto(Allocator* a, const TensorProto& proto) {
CHECK_NOTNULL(a);
TensorBuffer* p = nullptr;
if (!TensorShape::IsValid(proto.tensor_shape())) return false;
if (proto.dtype() == DT_INVALID) return false;
TensorShape shape(proto.tensor_shape());
const int64_t N = shape.num_elements();
if (N... | 112719252128622113589892906952570683457 | tensor.cc | 289613009517546867193769314060658742037 | CWE-617 | CVE-2022-23571 | Tensorflow is an Open Source Machine Learning Framework. When decoding a tensor from protobuf, a TensorFlow process can encounter cases where a `CHECK` assertion is invalidated based on user controlled arguments, if the tensors have an invalid `dtype` and 0 elements or an invalid shape. This allows attackers to cause d... | https://nvd.nist.gov/vuln/detail/CVE-2022-23571 |
221,428 | tensorflow | 5b491cd5e41ad63735161cec9c2a568172c8b6a3 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/5b491cd5e41ad63735161cec9c2a568172c8b6a3 | Validate `proto.dtype()` before calling `set_dtype()`.
This prevents a `DCHECK`-fail when the proto contains an invalid dtype for a tensor shape with 0 elements or for an incomplete tensor shape.
PiperOrigin-RevId: 408369083
Change-Id: Ia21a3e3d62a90d642a4561f08f3b543e5ad00c46 | 0 | bool Tensor::FromProto(Allocator* a, const TensorProto& proto) {
CHECK_NOTNULL(a);
TensorBuffer* p = nullptr;
if (!TensorShape::IsValid(proto.tensor_shape())) return false;
if (proto.dtype() == DT_INVALID) return false;
TensorShape shape(proto.tensor_shape());
const int64_t N = shape.num_elements();
if (N... | 12020279702191708342972381802829194549 | tensor.cc | 303884711858139014412460575672580480868 | CWE-617 | CVE-2022-23571 | Tensorflow is an Open Source Machine Learning Framework. When decoding a tensor from protobuf, a TensorFlow process can encounter cases where a `CHECK` assertion is invalidated based on user controlled arguments, if the tensors have an invalid `dtype` and 0 elements or an invalid shape. This allows attackers to cause d... | https://nvd.nist.gov/vuln/detail/CVE-2022-23571 |
195,091 | tensorflow | 35f0fabb4c178253a964d7aabdbb15c6a398b69a | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/35f0fabb4c178253a964d7aabdbb15c6a398b69a | Avoid Segfault for scalar shapes.
Calling tensor::FromElementsOp with an empty vector of elements and no type
causes a segfault. We need to let the FromElementsOp know which scalar type it
should have.
Also add back the DynamicBroadcastInDimOp canonicalization patterns, which
previously prevented this bug from happeni... | 1 | llvm::Optional<Value> simplifyBroadcast(ShapeComponentAnalysis& analysis,
ValueRange shapes, Location loc,
OpBuilder* builder) {
// First find the input shape with the largest rank.
SmallVector<ArrayRef<ShapeComponentAnalysis::SymbolicE... | 84683486121098934971147990908524528886 | tf_cpurt_symbolic_shape_optimization.cc | 183860206963562900623001205261417288221 | CWE-754 | CVE-2022-23593 | Tensorflow is an Open Source Machine Learning Framework. The `simplifyBroadcast` function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault (hence, denial of service), if called with scalar shapes. If all shapes are scalar, then `maxRank` is 0, so we build an empty `SmallVector`. The fix will be... | https://nvd.nist.gov/vuln/detail/CVE-2022-23593 |
221,631 | tensorflow | 35f0fabb4c178253a964d7aabdbb15c6a398b69a | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/35f0fabb4c178253a964d7aabdbb15c6a398b69a | Avoid Segfault for scalar shapes.
Calling tensor::FromElementsOp with an empty vector of elements and no type
causes a segfault. We need to let the FromElementsOp know which scalar type it
should have.
Also add back the DynamicBroadcastInDimOp canonicalization patterns, which
previously prevented this bug from happeni... | 0 | llvm::Optional<Value> simplifyBroadcast(ShapeComponentAnalysis& analysis,
ValueRange shapes, Location loc,
OpBuilder* builder) {
// First find the input shape with the largest rank.
SmallVector<ArrayRef<ShapeComponentAnalysis::SymbolicE... | 131837408517580503230068988683463768929 | tf_cpurt_symbolic_shape_optimization.cc | 61127670286277963749447708912499557476 | CWE-754 | CVE-2022-23593 | Tensorflow is an Open Source Machine Learning Framework. The `simplifyBroadcast` function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault (hence, denial of service), if called with scalar shapes. If all shapes are scalar, then `maxRank` is 0, so we build an empty `SmallVector`. The fix will be... | https://nvd.nist.gov/vuln/detail/CVE-2022-23593 |
195,230 | pjproject | f74c1fc22b760d2a24369aa72c74c4a9ab985859 | https://github.com/pjsip/pjproject | https://github.com/pjsip/pjproject/commit/f74c1fc22b760d2a24369aa72c74c4a9ab985859 | Merge pull request from GHSA-r374-qrwv-86hh | 1 | void pjmedia_rtcp_xr_rx_rtcp_xr( pjmedia_rtcp_xr_session *sess,
const void *pkt,
pj_size_t size)
{
const pjmedia_rtcp_xr_pkt *rtcp_xr = (pjmedia_rtcp_xr_pkt*) pkt;
const pjmedia_rtcp_xr_rb_rr_time *rb_rr_time = NULL;
const pjmedia_rtcp_xr_rb_dlrr *rb_dlrr = NULL;
const pjmedia_rtcp_... | 128531615202269817130665554219664776865 | rtcp_xr.c | 114410540091951766279707779044798368853 | CWE-125 | CVE-2021-43845 | PJSIP is a free and open source multimedia communication library. In version 2.11.1 and prior, if incoming RTCP XR message contain block, the data field is not checked against the received packet size, potentially resulting in an out-of-bound read access. This affects all users that use PJMEDIA and RTCP XR. A malicious... | https://nvd.nist.gov/vuln/detail/CVE-2021-43845 |
222,737 | pjproject | f74c1fc22b760d2a24369aa72c74c4a9ab985859 | https://github.com/pjsip/pjproject | https://github.com/pjsip/pjproject/commit/f74c1fc22b760d2a24369aa72c74c4a9ab985859 | Merge pull request from GHSA-r374-qrwv-86hh | 0 | void pjmedia_rtcp_xr_rx_rtcp_xr( pjmedia_rtcp_xr_session *sess,
const void *pkt,
pj_size_t size)
{
const pjmedia_rtcp_xr_pkt *rtcp_xr = (pjmedia_rtcp_xr_pkt*) pkt;
const pjmedia_rtcp_xr_rb_rr_time *rb_rr_time = NULL;
const pjmedia_rtcp_xr_rb_dlrr *rb_dlrr = NULL;
const pjmedia_rtcp_... | 134123814969944330757535232446891920936 | rtcp_xr.c | 238632209992792964107720594546671940595 | CWE-125 | CVE-2021-43845 | PJSIP is a free and open source multimedia communication library. In version 2.11.1 and prior, if incoming RTCP XR message contain block, the data field is not checked against the received packet size, potentially resulting in an out-of-bound read access. This affects all users that use PJMEDIA and RTCP XR. A malicious... | https://nvd.nist.gov/vuln/detail/CVE-2021-43845 |
195,231 | gpac | 893fb99b606eebfae46cde151846a980e689039b | https://github.com/gpac/gpac | https://github.com/gpac/gpac/commit/893fb99b606eebfae46cde151846a980e689039b | fixed #1902 | 1 | s32 gf_avc_parse_nalu(GF_BitStream *bs, AVCState *avc)
{
u8 idr_flag;
s32 slice, ret;
u32 nal_hdr;
AVCSliceInfo n_state;
gf_bs_enable_emulation_byte_removal(bs, GF_TRUE);
nal_hdr = gf_bs_read_u8(bs);
slice = 0;
memcpy(&n_state, &avc->s_info, sizeof(AVCSliceInfo));
avc->last_nal_type_parsed = n_state.nal_uni... | 99100226875075764129164909998725433232 | av_parsers.c | 168517587328341017594269375399465893964 | CWE-476 | CVE-2021-40565 | A Segmentation fault caused by a null pointer dereference vulnerability exists in Gpac through 1.0.1 via the gf_avc_parse_nalu function in av_parsers.c when using mp4box, which causes a denial of service. | https://nvd.nist.gov/vuln/detail/CVE-2021-40565 |
222,739 | gpac | 893fb99b606eebfae46cde151846a980e689039b | https://github.com/gpac/gpac | https://github.com/gpac/gpac/commit/893fb99b606eebfae46cde151846a980e689039b | fixed #1902 | 0 | s32 gf_avc_parse_nalu(GF_BitStream *bs, AVCState *avc)
{
u8 idr_flag;
s32 slice, ret;
u32 nal_hdr;
AVCSliceInfo n_state;
gf_bs_enable_emulation_byte_removal(bs, GF_TRUE);
nal_hdr = gf_bs_read_u8(bs);
slice = 0;
memcpy(&n_state, &avc->s_info, sizeof(AVCSliceInfo));
avc->last_nal_type_parsed = n_state.nal_uni... | 151148020238252563376772611575796474624 | av_parsers.c | 336095072032702615903888752582747164805 | CWE-476 | CVE-2021-40565 | A Segmentation fault caused by a null pointer dereference vulnerability exists in Gpac through 1.0.1 via the gf_avc_parse_nalu function in av_parsers.c when using mp4box, which causes a denial of service. | https://nvd.nist.gov/vuln/detail/CVE-2021-40565 |
195,237 | ImageMagick | f221ea0fa3171f0f4fdf74ac9d81b203b9534c23 | https://github.com/ImageMagick/ImageMagick | https://github.com/ImageMagick/ImageMagick/commit/f221ea0fa3171f0f4fdf74ac9d81b203b9534c23 | Fixes #4985: 4e+26 is outside the range of representable values of type 'unsigned long' at coders/pcl.c:299 (#4986)
* fix Division by zero in XMenuWidget() of MagickCore/widget.c
* Fix memory leak in AnimateImageCommand() of MagickWand/animate.c and DisplayImageCommand() of MagickWand/display.c
* fix Division by zer... | 1 | static Image *ReadPCLImage(const ImageInfo *image_info,ExceptionInfo *exception)
{
#define CropBox "CropBox"
#define DeviceCMYK "DeviceCMYK"
#define MediaBox "MediaBox"
#define RenderPCLText " Rendering PCL... "
char
command[MagickPathExtent],
*density,
filename[MagickPathExtent],
geometry[Magi... | 164108098598115354275502589345492195560 | pcl.c | 226900089914426038554396055314138187051 | CWE-190 | CVE-2022-32546 | A vulnerability was found in ImageMagick, causing an outside the range of representable values of type 'unsigned long' at coders/pcl.c, when crafted or untrusted input is processed. This leads to a negative impact to application availability or other problems related to undefined behavior. | https://nvd.nist.gov/vuln/detail/CVE-2022-32546 |
223,089 | ImageMagick | f221ea0fa3171f0f4fdf74ac9d81b203b9534c23 | https://github.com/ImageMagick/ImageMagick | https://github.com/ImageMagick/ImageMagick/commit/f221ea0fa3171f0f4fdf74ac9d81b203b9534c23 | Fixes #4985: 4e+26 is outside the range of representable values of type 'unsigned long' at coders/pcl.c:299 (#4986)
* fix Division by zero in XMenuWidget() of MagickCore/widget.c
* Fix memory leak in AnimateImageCommand() of MagickWand/animate.c and DisplayImageCommand() of MagickWand/display.c
* fix Division by zer... | 0 | static Image *ReadPCLImage(const ImageInfo *image_info,ExceptionInfo *exception)
{
#define CropBox "CropBox"
#define DeviceCMYK "DeviceCMYK"
#define MediaBox "MediaBox"
#define RenderPCLText " Rendering PCL... "
char
command[MagickPathExtent],
*density,
filename[MagickPathExtent],
geometry[Magi... | 19106273782202991773902274267597206156 | pcl.c | 107050694639473008713363285641232916868 | CWE-190 | CVE-2022-32546 | A vulnerability was found in ImageMagick, causing an outside the range of representable values of type 'unsigned long' at coders/pcl.c, when crafted or untrusted input is processed. This leads to a negative impact to application availability or other problems related to undefined behavior. | https://nvd.nist.gov/vuln/detail/CVE-2022-32546 |
End of preview. Expand in Data Studio
PrimeVul-Paired Original Test Dataset (Lite for reproducing Code-TREAT results)
Overview
This dataset contains the original paired test split from the PrimeVul dataset, provided for reproducibility purposes. The data is sourced from the paper "PrimeVul: Vulnerability Detection with Code Language Models: How Far Are We?" and includes both the default (single functions) and paired (vulnerable/non-vulnerable pairs) configurations.
Citation
If you use this dataset, please cite the original PrimeVul paper:
@article{primevul2024,
title={PrimeVul: Vulnerability Detection with Code Language Models: How Far Are We?},
author={[Authors from the original paper]},
journal={arXiv preprint arXiv:2403.18624},
year={2024},
url={https://arxiv.org/abs/2403.18624}
}
Dataset Configurations
- Description: Paired vulnerability detection dataset with before/after patch pairs
- Size: 870 test samples
- Format: Each sample represents either the vulnerable or patched version of a function
- Fields:
idx: Unique sample identifierproject: Source project namecommit_id: Git commit hashtarget: Binary label (0=non-vulnerable, 1=vulnerable)func: Source code functionfunc_hash: Function hashcwe: Common Weakness Enumeration categoriescve: CVE identifier (if applicable)project_url: Source project repository URLcommit_url: Direct link to the commit- Additional metadata fields
Data Source
The original JSONL files are available from the PrimeVul authors at:
- Google Drive: https://drive.google.com/drive/folders/19iLaNDS0z99N8kB_jBRTmDLehwZBolMY
- GitHub Repository: https://github.com/DLVulDet/PrimeVul
Data Format
This dataset provides the test splits in Parquet format for easy loading with HuggingFace datasets. The original data was in JSONL format and has been converted while preserving all original fields and values.
Usage
from datasets import load_dataset
# Login using e.g. `huggingface-cli login` to access this dataset
ds = load_dataset("Code-TREAT/PrimeVul-Paired_original_lite")
Purpose
This dataset is provided by the Code-TREAT project to ensure reproducibility and consistency in vulnerability detection research. By providing the exact test splits used in evaluations, researchers can:
- Reproduce results from papers using this dataset
- Compare methods fairly using identical test data
- Validate new approaches against established benchmarks
License
Please refer to the original PrimeVul repository for licensing information: https://github.com/DLVulDet/PrimeVul
Acknowledgments
We thank the authors of PrimeVul for making their dataset publicly available and for their contributions to vulnerability detection research.
Contact
For questions about this dataset distribution, please refer to the original PrimeVul repository or the Code-TREAT project.
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