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CVE
CVE
•added 2026/08/24 1:11 p.m.•58 views

CVE-2026-76841

Xinference (by XorbitsAI) through version 2.11.0 unconditionally sets trust_remote_code=True at six model loader call sites spanning the rerank, embedding, and LLM modules. An attacker with model launch access can register a model with an unknown type and an arbitrary path, causing AutoTokenizer....

8.8CVSS6.2AI score0.01029EPSS
SaveExploits0References5
Positive Technologies
Positive Technologies
•added 2026/08/24 12:00 a.m.•37 views

PT-2026-80851

Xinference loads models with Hugging Face remote code execution unconditionally enabled, and before version 2.12.0 exposes no setting to disable it. Six loader call sites pass trust remote code=True as a literal or as an unconditional default: RerankModel. get tokenizer in...

8.8CVSS6.5AI score0.01029EPSS
SaveExploits0References6
Cvelist
Cvelist
•added 2026/08/19 9:35 p.m.•50 views

CVE-2026-76395 Remote Code Execution (RCE) through Deserialization of Untrusted Data in the Model Loading REST API in Splunk AI Toolkit

In Splunk AI Toolkit versions below 6.0.0, a user who holds the "power" Splunk role could execute arbitrary code on the Splunk server by loading a model file containing crafted sparse matrix data. The deserialization of untrusted data is possible because a model codec in Splunk AI Toolkit...

8.8CVSS0.00652EPSS
SaveExploits0References1
CVE
CVE
•added 2026/08/19 9:35 p.m.•36 views

CVE-2026-76395

Splunk AI Toolkit versions below 6.0.0 deserialize sparse matrix data containing embedded pickle payloads without validation, allowing a user with the "power" role to execute arbitrary code via the model-loading REST API. The fix is to upgrade to version 6.0.0 or later. No in-the-wild exploitatio...

8.8CVSS6.4AI score0.00652EPSS
SaveExploits0References1Affected Software1
Vulnrichment
Vulnrichment
•added 2026/08/19 9:35 p.m.•13 views

CVE-2026-76395 Remote Code Execution (RCE) through Deserialization of Untrusted Data in the Model Loading REST API in Splunk AI Toolkit

In Splunk AI Toolkit versions below 6.0.0, a user who holds the "power" Splunk role could execute arbitrary code on the Splunk server by loading a model file containing crafted sparse matrix data. The deserialization of untrusted data is possible because a model codec in Splunk AI Toolkit...

8.8CVSS6.4AI score0.00652EPSS
SaveExploits0References1
RedhatCVE
RedhatCVE
•added 2026/08/14 5:30 p.m.•13 views

CVE-2026-73067

A flaw was found in Tesseract, an open-source Optical Character Recognition OCR engine. A remote attacker could exploit this vulnerability by providing a specially crafted .traineddata model. When this malicious model is loaded, it can cause the software to read beyond its allocated memory, leadi...

6.7CVSS5.9AI score0.00126EPSS
SaveExploits0References9
Github Security Blog
Github Security Blog
•added 2026/08/10 9:31 a.m.•17 views

Keras model loading is vulnerable to denial of service through HDF5 shape bombs

A vulnerability in keras-team/keras versions 3.15.0 allows for a denial of service DoS attack when loading malicious .keras model files via the keras.models.loadmodel function. The H5IOStore.getitem method in keras/src/saving/savinglib.py does not validate the shape or size of datasets, leading t...

5.5CVSS5.8AI score0.00128EPSS
SaveExploits0References6Affected Software1
OSV
OSV
•added 2026/08/10 9:31 a.m.•14 views

GHSA-74M6-M3XX-3VMJ Keras model loading is vulnerable to denial of service through HDF5 shape bombs

A vulnerability in keras-team/keras versions 3.15.0 allows for a denial of service DoS attack when loading malicious .keras model files via the keras.models.loadmodel function. The H5IOStore.getitem method in keras/src/saving/savinglib.py does not validate the shape or size of datasets, leading t...

5.5CVSS6AI score0.00128EPSS
SaveExploits0References6
Positive Technologies
Positive Technologies
•added 2026/08/10 12:00 a.m.•12 views

PT-2026-69334

Name of the Vulnerable Software and Affected Versions keras-team/keras versions prior to 3.15.1 Description A denial of service DoS issue occurs when loading malicious .keras model files using the keras.models.load model function. The H5IOStore. getitem method in keras/src/saving/saving lib.py...

5.5CVSS5.9AI score0.00128EPSS
SaveExploits0References25
Tenable Nessus
Tenable Nessus
•added 2026/08/10 12:00 a.m.•14 views

Linux Distros Unpatched Vulnerability : CVE-2026-12570

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - A vulnerability in keras-team/keras versions = 3.15.0 allows for a denial of service DoS attack when loading malicious .keras model files via the...

7.6CVSS6.3AI score0.00335EPSS
SaveExploits3References2
attackerkb
attackerkb
•added 2026/07/31 8:56 p.m.•21 views

CVE-2026-68770

sentence-transformers contains a security control bypass vulnerability that allows attackers to achieve arbitrary code execution by exploiting a logic flaw in the importmoduleclass helper within sentencetransformers/util/misc.py, where the guard condition includes an 'or...

9.8CVSS6.7AI score0.00909EPSS
SaveExploits0References6
RedhatCVE
RedhatCVE
•added 2026/07/27 10:51 a.m.•16 views

CVE-2026-65920

A flaw was found in Diffusers. This path traversal vulnerability in the getcheckpointshardfiles function allows a remote attacker to read arbitrary files. By supplying malicious weightmap values in model index JSON, an attacker can use ../ sequences or absolute paths to escape the model directory...

5.3CVSS6.1AI score0.00398EPSS
SaveExploits0References7
OSV
OSV
•added 2026/07/23 5:43 p.m.•23 views

CVE-2026-65920 Diffusers Path Traversal via weight_map Arbitrary File Read

Diffusers through 0.39.0, fixed in commit cee298c, contains a path traversal vulnerability in the getcheckpointshardfiles function that allows attackers to read arbitrary files by supplying malicious weightmap values in model index JSON. Attackers can use ../ sequences or absolute paths in...

5.3CVSS5.5AI score
SaveExploits0References7
OSV
OSV
•added 2026/07/23 11:41 a.m.•21 views

PYSEC-2026-3498 PocketSphinx: Buffer overflows in language and acoustic model loading code

Impact The trie language model code introduced in PocketSphinx 5prealpha failed to check various boundary conditions when reading the headers of ARPA, DMP, and binary format language model files. In the case of invalid, corrupted or malicious input files, this could lead to stack and heap buffer...

6.9CVSS5.9AI score0.00548EPSS
SaveExploits0References6
Positive Technologies
Positive Technologies
•added 2026/07/23 12:00 a.m.•29 views

PT-2026-64106

Impact The trie language model code introduced in PocketSphinx 5prealpha failed to check various boundary conditions when reading the headers of ARPA, DMP, and binary format language model files. In the case of invalid, corrupted or malicious input files, this could lead to stack and heap buffer...

6.9CVSS5.9AI score0.00548EPSS
SaveExploits0References7
Snyk
Snyk
•added 2026/07/17 9:19 p.m.•13 views

Heap-based Buffer Overflow

Overview pocketsphinx is an Official Python bindings for PocketSphinx Affected versions of this package are vulnerable to Heap-based Buffer Overflow via the model loading process. An attacker can execute arbitrary code or cause a crash by supplying a crafted or malicious language or acoustic mode...

6.9CVSS6.4AI score0.00548EPSS
SaveExploits0References4
Positive Technologies
Positive Technologies
•added 2026/07/17 12:00 a.m.•31 views

PT-2026-60899

Name of the Vulnerable Software and Affected Versions PocketSphinx versions 5prealpha through 5.1.0 Description The trie language model code fails to check boundary conditions when reading headers of ARPA, DMP, and binary format language model files, which can lead to stack and heap buffer...

6.9CVSS6AI score0.00548EPSS
SaveExploits0References9
Cvelist
Cvelist
•added 2026/07/15 8:04 p.m.•57 views

CVE-2026-50144 ncnn: Out-of-bounds heap write in ParamDict::load_param via unchecked negative parameter id

ncnn is a high-performance neural network inference framework optimized for the mobile platform. In commit e54f7b1f88434e1d844ea0551b880a1cfb079ce1 and earlier, ncnn allows an out-of-bounds heap write in ncnn::ParamDict::loadparam when Net::loadparam loads a malicious .param model file because th...

7.1CVSS0.00159EPSS
SaveExploits0References2
PyPA
PyPA
•added 2026/07/13 3:46 p.m.•24 views

OpenMed vulnerable to remote code injection through privacy-filter model loading path

OpenMed before 1.5.2 contains a remote code execution vulnerability in the PII privacy-filter model loading path. The privacy-filter dispatcher used broad substring matching on the user-supplied modelname parameter, allowing a value such as attacker/foo-privacy-filter-bar to route through a path...

9.8CVSS6.5AI score0.01288EPSS
SaveExploits1References8Affected Software1
OSV
OSV
•added 2026/07/13 3:46 p.m.•17 views

PYSEC-2026-2852 OpenMed vulnerable to remote code injection through privacy-filter model loading path

OpenMed before 1.5.2 contains a remote code execution vulnerability in the PII privacy-filter model loading path. The privacy-filter dispatcher used broad substring matching on the user-supplied modelname parameter, allowing a value such as attacker/foo-privacy-filter-bar to route through a path...

9.8CVSS6.5AI score0.01288EPSS
SaveExploits1References8
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