{"answers":{"affected":"3 open source packages ship an affected version, including mltable. It affects 1 product.","exploited":"There is no known exploitation of CVE-2023-35625 in the wild and no public exploit code.","fix":"Upgrade mltable to 1.5.0 or later.","what":"CVE-2023-35625 is a medium-severity vulnerability in Microsoft Azure Machine Learning, published on 12 Dec 2023. It can only be exploited from the same machine or local network, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2023-35625 and fix it if it is affected.\n\nWhat it is: CVE-2023-35625 is a medium-severity vulnerability in Microsoft Azure Machine Learning, published on 12 Dec 2023. It can only be exploited from the same machine or local network, with no action from the victim.\nExploitation: There is no known exploitation of CVE-2023-35625 in the wild and no public exploit code.\n\nAffected packages and fixed versions:\n- mltable (PyPI): affected all versions; fixed in 1.5.0\n- mltable (PyPI): affected all versions; fixed in 1.5.0\n- mltable (PyPI): affected all versions; fixed in 1.5.0\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-2023-35625/ (Markdown: https://insights.sbomify.com/CVE-2023-35625/index.md)","id":"CVE-2023-35625","markdown":"https://insights.sbomify.com/CVE-2023-35625/index.md","name":"CVE-2023-35625","record":{"aliases":["GHSA-m5pc-86x8-wcxg","PYSEC-2026-1664"],"analysis":{"component_type":"cloud_service","fix_type":"patch","impacts":["data_read"],"network_reachable":"adjacent_or_local","non_default_config":false,"product_category":"Azure Machine Learning","requires_auth":"low_privilege","summary":"Attackers can access sensitive information from Azure Machine Learning Compute Instances, potentially exposing user data.","user_interaction":"not_required","vuln_class":"information_disclosure"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"microsoft","cpe":[{"product":"azure_machine_learning_software_development_kit","vendor":"microsoft"}],"cvss":{"score":4.7,"severity":"medium","source":"cna","vector":"CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:N/A:N/E:U/RL:O/RC:C","version":"3.1"},"cwes":[{"id":"CWE-200","name":"Exposure of Sensitive Information to an Unauthorized Actor"}],"description":"Azure Machine Learning Compute Instance for SDK Users Information Disclosure Vulnerability","ecosystems":["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":"Azure Machine Learning Compute Instance for SDK Users Information Disclosure Vulnerability","id":"CVE-2023-35625","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"PyPI","product":null,"products":[],"type":"information_disclosure","year":"2023"},"n_packages":3,"n_references":1,"next":{"headline":"Windows MSHTML Platform Remote Code Execution Vulnerability","id":"CVE-2023-35628"},"packages":[{"ecosystem":"PyPI","fixed":["1.5.0"],"introduced":["0"],"last_affected":[],"package":"mltable","purl":null,"source":"GHSA-m5pc-86x8-wcxg"},{"ecosystem":"PyPI","fixed":["1.5.0"],"introduced":["0"],"last_affected":[],"package":"mltable","purl":"pkg:pypi/mltable","source":"GHSA-m5pc-86x8-wcxg"},{"ecosystem":"PyPI","fixed":["1.5.0"],"introduced":["0"],"last_affected":[],"package":"mltable","purl":"pkg:pypi/mltable","source":"PYSEC-2026-1664"}],"prev":{"headline":"Azure Connected Machine Agent Elevation of Privilege Vulnerability","id":"CVE-2023-35624"},"products":["Azure Machine Learning"],"published":"2023-12-12","related":[],"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":"no","exploitation":"none","technical_impact":"partial"},"state":"PUBLISHED","updated":"2025-01-01","vendors":["Microsoft"]},"summary":"Attackers can access sensitive information from Azure Machine Learning Compute Instances, potentially exposing user data.","url":"https://insights.sbomify.com/CVE-2023-35625/"}