{"answers":{"affected":"3 open source packages ship an affected version, including transformers. It affects 1 product.","exploited":"It is not confirmed as exploited in the wild, but public exploit code for CVE-2025-5197 exists.","fix":"Upgrade transformers to 4.53.0 or later.","what":"CVE-2025-5197 is a medium-severity denial of service vulnerability in huggingface/transformers, published on 6 Aug 2025. An attacker can exploit it over the internet without logging in, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2025-5197 and fix it if it is affected.\n\nWhat it is: CVE-2025-5197 is a medium-severity denial of service vulnerability in huggingface/transformers, published on 6 Aug 2025. An attacker can exploit it over the internet without logging in, with no action from the victim.\nExploitation: It is not confirmed as exploited in the wild, but public exploit code for CVE-2025-5197 exists.\n\nAffected packages and fixed versions:\n- transformers (PyPI): affected all versions; fixed in 4.53.0\n- transformers (PyPI): affected all versions; fixed in 4.53.0\n- transformers (PyPI): affected all versions; fixed in 4.53.0\n\nTask:\n1. Search the dependency manifests and lockfiles (for example package.json, package-lock.json, requirements.txt, poetry.lock, uv.lock, pom.xml, build.gradle, go.mod, Cargo.lock, Gemfile.lock) and any Dockerfiles for the affected packages, including transitive dependencies.\n2. If an affected version is in use, upgrade it to the fixed version for its release line with the project's package manager, so the lockfile is regenerated. Prefer the smallest upgrade that fixes it.\n3. If there is no fix, or the upgrade would break the build, do not guess: explain the risk and the safest workaround instead.\n4. Run the tests and summarise what changed and why.\n5. If nothing in the project is affected, say so and change nothing.\n\nReference: https://insights.sbomify.com/CVE-2025-5197/ (Markdown: https://insights.sbomify.com/CVE-2025-5197/index.md)","id":"CVE-2025-5197","markdown":"https://insights.sbomify.com/CVE-2025-5197/index.md","name":"CVE-2025-5197","record":{"aliases":["GHSA-9356-575x-2w9m","PYSEC-2026-1983"],"analysis":{"component_type":"library","fix_type":"upgrade","impacts":["denial_of_service"],"network_reachable":"yes","non_default_config":false,"product_category":"Python ML library","requires_auth":"none","summary":"Attackers can cause service disruption and resource exhaustion in Hugging Face Transformers via crafted input triggering catastrophic regex backtracking.","user_interaction":"not_required","vuln_class":"denial_of_service"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"@huntr_ai","cpe":[{"product":"transformers","vendor":"huggingface"}],"cvss":{"score":5.3,"severity":"medium","source":"cna","vector":"CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L","version":"3.0"},"cwes":[{"id":"CWE-1333","name":"Inefficient Regular Expression Complexity"}],"description":"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 service vulnerabilities, impacting model conversion processes between TensorFlow and PyTorch formats.","ecosystems":["PyPI"],"exploits":{"exploitdb":0,"first_seen":null,"github_poc":0,"max_poc_stars":null,"metasploit":0,"nuclei":0,"refs":[],"tier":"weaponised"},"has_fix":true,"headline":"Regular Expression Denial of Service (ReDoS) in huggingface/transformers","id":"CVE-2025-5197","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"PyPI","product":null,"products":[],"type":"denial_of_service","year":"2025"},"n_packages":3,"n_references":2,"next":{"headline":"Stackrox: xss in stackrox","id":"CVE-2025-5198"},"packages":[{"ecosystem":"PyPI","fixed":["4.53.0"],"introduced":["0"],"last_affected":[],"package":"transformers","purl":null,"source":"GHSA-9356-575x-2w9m"},{"ecosystem":"PyPI","fixed":["4.53.0"],"introduced":["0"],"last_affected":[],"package":"transformers","purl":"pkg:pypi/transformers","source":"GHSA-9356-575x-2w9m"},{"ecosystem":"PyPI","fixed":["4.53.0"],"introduced":["0"],"last_affected":[],"package":"transformers","purl":"pkg:pypi/transformers","source":"PYSEC-2026-1983"}],"prev":{"headline":"Wing FTP Server Lua Admin Console unnecessary privileges","id":"CVE-2025-5196"},"products":["huggingface/transformers"],"published":"2025-08-06","related":[{"cvss_score":9.6,"headline":"Deserialization of Untrusted Data in huggingface/transformers","id":"CVE-2023-7018","kev_date_added":null,"published":"2023-12-20"},{"cvss_score":9,"headline":"Deserialization of Untrusted Data in huggingface/transformers","id":"CVE-2023-6730","kev_date_added":null,"published":"2023-12-19"},{"cvss_score":8.8,"headline":"Hugging Face Transformers MaskFormer Model Deserialization of Untrusted Data Remote Code Execution Vulnerability","id":"CVE-2024-11393","kev_date_added":null,"published":"2024-11-22"},{"cvss_score":8.8,"headline":"Hugging Face Transformers Trax Model Deserialization of Untrusted Data Remote Code Execution Vulnerability","id":"CVE-2024-11394","kev_date_added":null,"published":"2024-11-22"},{"cvss_score":8,"headline":"Policy Bypass in LightGlue Nested Config Resolution in huggingface/transformers","id":"CVE-2026-5241","kev_date_added":null,"published":"2026-06-03"},{"cvss_score":7.8,"headline":"Arbitrary Remote Code Execution via `_attn_implementation_internal` Config Injection in huggingface/transformers","id":"CVE-2026-4372","kev_date_added":null,"published":"2026-05-24"},{"cvss_score":7.8,"headline":"Hugging Face Transformers Perceiver Model Deserialization of Untrusted Data Remote Code Execution Vulnerability","id":"CVE-2025-14920","kev_date_added":null,"published":"2025-12-23"}],"sources":[{"class":"attribution","licence":"CVE Terms of Use (MITRE)","name":"CVE List","prefix":"CVE"},{"class":"attribution","licence":"CC BY 4.0","name":"GitHub Advisory Database","prefix":"GHSA"},{"class":"attribution","licence":"CC BY 4.0","name":"PyPA Advisory Database","prefix":"PYSEC"},{"class":"attribution","licence":"US public information, NVD API terms","name":"NVD"},{"class":"attribution","licence":"CWE Terms of Use","name":"CWE (MITRE)"},{"class":"attribution","licence":"FIRST CVSS licence","name":"CVSS (FIRST)"}],"ssvc":{"automatable":"yes","exploitation":"poc","technical_impact":"partial"},"state":"PUBLISHED","updated":"2025-08-06","vendors":["huggingface"]},"summary":"Attackers can cause service disruption and resource exhaustion in Hugging Face Transformers via crafted input triggering catastrophic regex backtracking.","url":"https://insights.sbomify.com/CVE-2025-5197/"}