{"answers":{"affected":"2 open source packages ship an affected version, including pytorch and torch. It affects 1 product.","exploited":"There is no known exploitation of CVE-2025-46148 in the wild and no public exploit code.","fix":"Upgrade pytorch to 2.7.0 or later.","what":"CVE-2025-46148 is a medium-severity vulnerability in n/a, published on 25 Sep 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-2025-46148 and fix it if it is affected.\n\nWhat it is: CVE-2025-46148 is a medium-severity vulnerability in n/a, published on 25 Sep 2025. An attacker can exploit it over the internet without logging in, with no action from the victim.\nExploitation: There is no known exploitation of CVE-2025-46148 in the wild and no public exploit code.\n\nAffected packages and fixed versions:\n- pytorch (Bitnami): affected all versions; fixed in 2.7.0\n- torch (PyPI): affected all versions; fixed in 2.7.0\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-2025-46148/ (Markdown: https://insights.sbomify.com/CVE-2025-46148/index.md)","id":"CVE-2025-46148","markdown":"https://insights.sbomify.com/CVE-2025-46148/index.md","name":"CVE-2025-46148","record":{"aliases":["BIT-pytorch-2025-46148","DEBIAN-CVE-2025-46148","ECHO-b538-5d93-3b14","GHSA-m7x9-2m87-mqhf","PYSEC-2025-198","UBUNTU-CVE-2025-46148"],"analysis":{"component_type":"library","fix_type":"upgrade","impacts":["other"],"network_reachable":"yes","non_default_config":false,"product_category":"PyTorch machine learning library","requires_auth":"none","summary":"PyTorch produces incorrect results for PairwiseDistance in eager mode, potentially affecting model accuracy and reliability.","user_interaction":"not_required","vuln_class":"other"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"mitre","cpe":[{"product":"pytorch","vendor":"linuxfoundation"}],"cvss":{"score":5.3,"severity":"medium","source":"cisa-adp","vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N","version":"3.1"},"cwes":[],"description":"In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistance(p=2) produces incorrect results.","ecosystems":["Bitnami","PyPI"],"exploits":{"exploitdb":0,"first_seen":null,"github_poc":0,"max_poc_stars":null,"metasploit":0,"nuclei":0,"refs":[],"tier":"none_known"},"has_fix":true,"headline":"Other in n/a","id":"CVE-2025-46148","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"Bitnami","product":null,"products":[],"type":"other","year":"2025"},"n_packages":2,"n_references":4,"next":{"headline":"Denial of service in n/a","id":"CVE-2025-46149"},"packages":[{"ecosystem":"Bitnami","fixed":["2.7.0"],"introduced":["0"],"last_affected":[],"package":"pytorch","purl":"pkg:bitnami/pytorch","source":"BIT-pytorch-2025-46148"},{"ecosystem":"PyPI","fixed":["2.7.0"],"introduced":["0"],"last_affected":[],"package":"torch","purl":"pkg:pypi/torch","source":"PYSEC-2025-198"}],"prev":{"headline":"Code injection in n/a","id":"CVE-2025-46123"},"products":["n/a"],"published":"2025-09-25","related":[{"cvss_score":9.8,"headline":"Deserialization in n/a","id":"CVE-2024-48063","kev_date_added":null,"published":"2024-10-29"},{"cvss_score":9.8,"headline":"PyTorch vulnerable to arbitrary code execution","id":"CVE-2022-45907","kev_date_added":null,"published":"2022-11-26"},{"cvss_score":9.3,"headline":"PyTorch: `torch.load` with `weights_only=True` leads to remote code execution","id":"CVE-2025-32434","kev_date_added":null,"published":"2025-04-18"},{"cvss_score":8.8,"headline":"PyTorch Vulnerable to Remote Code Execution via Untrusted Checkpoint Files","id":"CVE-2026-24747","kev_date_added":null,"published":"2026-01-27"},{"cvss_score":7.8,"headline":"Pytorch use-after-free vulnerability","id":"CVE-2024-31583","kev_date_added":null,"published":"2024-04-17"},{"cvss_score":7.5,"headline":"Denial of service in n/a","id":"CVE-2025-55551","kev_date_added":null,"published":"2025-09-25"},{"cvss_score":7.5,"headline":"Denial of service in n/a","id":"CVE-2025-55553","kev_date_added":null,"published":"2025-09-25"}],"sources":[{"class":"attribution","licence":"Apache-2.0","name":"Bitnami","prefix":"BIT"},{"class":"attribution","licence":"CVE Terms of Use (MITRE)","name":"CVE List","prefix":"CVE"},{"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":"FIRST CVSS licence","name":"CVSS (FIRST)"}],"ssvc":{"automatable":"no","exploitation":"none","technical_impact":"partial"},"state":"PUBLISHED","updated":"2025-09-25","vendors":["n/a"]},"summary":"PyTorch produces incorrect results for PairwiseDistance in eager mode, potentially affecting model accuracy and reliability.","url":"https://insights.sbomify.com/CVE-2025-46148/"}