CVEs.

Vulnerabilities published in the last two years in software made by the companies on the wall: clients, SDKs, agents and self-hosted editions. A CVE here does not mean the hosted service was affected or breached.

NVD data refreshed 35 min ago

Severity of matching CVEs

CVSS base severity, as scored in NVD

Critical: 00%
High: 00%
Medium: 8100%
Low or not scored: 00%

Matching CVEs: 8; Last two years
Critical: 0; CVSS 9.0 and above
High: 0; CVSS 7.0 to 8.9
Known exploited: 0; On CISA's KEV list

Matching CVEs published

By month, last two years

Peak 3 · July 2025

Most CVEs

In each company's software, last two years

Matching CVEs

6.9Med
CVE-2026-66007 (opens in a new tab)
Datasets through 5.0.0, fixed in commit f989ef9, contains a path traversal vulnerability in folder-based dataset builders where the file_name metadata field is not properly validated before being joined to the dataset directory. Attackers can supply crafted file_name values with directory traversal sequences to read arbitrary local files, which are then embedded into output when save_to_disk or push_to_hub is called.
Hugging Face· Jul 24, 2026
5.4Med
CVE-2025-11844 (opens in a new tab)
Hugging Face Smolagents version 1.20.0 contains an XPath injection vulnerability in the search_item_ctrl_f function located in src/smolagents/vision_web_browser.py. The function constructs an XPath query by directly concatenating user-supplied input into the XPath expression without proper sanitization or escaping. This allows an attacker to inject malicious XPath syntax that can alter the intended query logic. The vulnerability enables attackers to bypass search filters, access unintended DOM elements, and disrupt web automation workflows. This can lead to information disclosure, manipulation
Hugging Face· Oct 22, 2025
5.3Med
CVE-2025-6051 (opens in a new tab)
A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically within the `normalize_numbers()` method of the `EnglishNormalizer` class. This vulnerability affects versions up to 4.52.4 and is fixed in version 4.53.0. The issue arises from the method's handling of numeric strings, which can be exploited using crafted input strings containing long sequences of digits, leading to excessive CPU consumption. This vulnerability impacts text-to-speech and number normalization tasks, potentially causing service disruption, resource e
Hugging Face· Sep 14, 2025
5.3Med
CVE-2025-5197 (opens in a new tab)
A Regular Expression Denial of Service (ReDoS) vulnerability exists in the Hugging Face Transformers library, specifically in the `convert_tf_weight_name_to_pt_weight_name()` function. This function, responsible for converting TensorFlow weight names to PyTorch format, uses a regex pattern `/[^/]*___([^/]*)/` that can be exploited to cause excessive CPU consumption through crafted input strings due to catastrophic backtracking. The vulnerability affects versions up to 4.51.3 and is fixed in version 4.53.0. This issue can lead to service disruption, resource exhaustion, and potential API servic
Hugging Face· Aug 6, 2025
5.3Med
CVE-2025-3933 (opens in a new tab)
A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically within the DonutProcessor class's `token2json()` method. This vulnerability affects versions 4.50.3 and earlier, and is fixed in version 4.52.1. The issue arises from the regex pattern `<s_(.*?)>` which can be exploited to cause excessive CPU consumption through crafted input strings due to catastrophic backtracking. This vulnerability can lead to service disruption, resource exhaustion, and potential API service vulnerabilities, impacting document processing tasks
Hugging Face· Jul 11, 2025
5.3Med
CVE-2025-3264 (opens in a new tab)
A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically in the `get_imports()` function within `dynamic_module_utils.py`. This vulnerability affects versions 4.49.0 and is fixed in version 4.51.0. The issue arises from a regular expression pattern `\s*try\s*:.*?except.*?:` used to filter out try/except blocks from Python code, which can be exploited to cause excessive CPU consumption through crafted input strings due to catastrophic backtracking. This vulnerability can lead to remote code loading disruption, resource ex
Hugging Face· Jul 7, 2025
5.3Med
CVE-2025-3263 (opens in a new tab)
A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically in the `get_configuration_file()` function within the `transformers.configuration_utils` module. The affected version is 4.49.0, and the issue is resolved in version 4.51.0. The vulnerability arises from the use of a regular expression pattern `config\.(.*)\.json` that can be exploited to cause excessive CPU consumption through crafted input strings, leading to catastrophic backtracking. This can result in model serving disruption, resource exhaustion, and increase
Hugging Face· Jul 7, 2025
6.5Med
CVE-2025-1194 (opens in a new tab)
A Regular Expression Denial of Service (ReDoS) vulnerability was identified in the huggingface/transformers library, specifically in the file `tokenization_gpt_neox_japanese.py` of the GPT-NeoX-Japanese model. The vulnerability occurs in the SubWordJapaneseTokenizer class, where regular expressions process specially crafted inputs. The issue stems from a regex exhibiting exponential complexity under certain conditions, leading to excessive backtracking. This can result in high CPU usage and potential application downtime, effectively creating a Denial of Service (DoS) scenario. The affected ve
Hugging Face· Apr 29, 2025

Public information only

Everything on this page was already published by the companies themselves or by public bodies. statuswall gathers it in one place, links every item to its original, and adds nothing from private or leaked sources.

Sources

National Vulnerability Database (opens in a new tab): CVE IDs, descriptions, publication dates and CVSS severity, published by the U.S. government (NIST)
CISA Known Exploited Vulnerabilities catalog (opens in a new tab): the "Known exploited" flag

How fresh it is

New and changed CVEs: pulled from NVD every two hours; last run 35 min ago
Known-exploited flags: updated from CISA in the same run
Window: the last two years; older entries drop off automatically

Source: the U.S. National Vulnerability Database, refreshed daily, with the known-exploited flag from CISA's KEV catalog. Descriptions are NVD's. A CVE is listed under a company when NVD names that company's product as affected, or when the company's own CVE authority assigned it; companies whose names are common words are matched only by explicit rules, so some CVEs will be missing. This product uses NVD data but is not endorsed or certified by the NVD. CVE is a registered trademark of The MITRE Corporation.

statuswall is independent and is not affiliated with, sponsored by or endorsed by any company named here. Company and product names are used only to identify whose public information is being referred to. The information is provided as is, for general reference, with no guarantee that it is complete, current or free of error; it is not security, legal or purchasing advice. Where this page and an official source differ, the official source is right.