{"answers":{"affected":"3 open source packages ship an affected version, including pandasai. It affects 1 product.","exploited":"It is not confirmed as exploited in the wild, but public exploit code for CVE-2024-23752 exists.","fix":"No fix has been published for CVE-2024-23752 yet. Limit exposure of the affected software until one is available.","what":"CVE-2024-23752 is a critical code injection vulnerability in n/a, published on 22 Jan 2024. An attacker can exploit it over the internet without logging in, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2024-23752 and fix it if it is affected.\n\nWhat it is: CVE-2024-23752 is a critical code injection vulnerability in n/a, published on 22 Jan 2024. 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-2024-23752 exists.\n\nAffected packages and fixed versions:\n- pandasai (PyPI): affected all versions up to 1.5.17; no fix listed\n- pandasai (PyPI): affected all versions up to 1.5.17; no fix listed\n- pandasai (PyPI): affected all versions up to 1.5.17; no fix listed\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-2024-23752/ (Markdown: https://insights.sbomify.com/CVE-2024-23752/index.md)","id":"CVE-2024-23752","markdown":"https://insights.sbomify.com/CVE-2024-23752/index.md","name":"CVE-2024-23752","record":{"aliases":["GHSA-5g73-69p4-7gvx","PYSEC-2026-446"],"analysis":{"component_type":"library","fix_type":"upgrade","impacts":["code_execution"],"network_reachable":"yes","non_default_config":false,"product_category":"PandasAI Python library","requires_auth":"none","summary":"Attackers can execute arbitrary Python code by crafting specific dataframes in PandasAI, leading to potential system compromise.","user_interaction":"not_required","vuln_class":"code_injection"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"mitre","cpe":[{"product":"pandasai","vendor":"gabrieleventuri"}],"cvss":{"score":9.8,"severity":"critical","source":"cisa-adp","vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H","version":"3.1"},"cwes":[{"id":"CWE-862","name":"Missing Authorization"}],"description":"GenerateSDFPipeline in synthetic_dataframe in PandasAI (aka pandas-ai) through 1.5.17 allows attackers to trigger the generation of arbitrary Python code that is executed by SDFCodeExecutor. An attacker can create a dataframe that provides an English language specification of this Python code. NOTE: the vendor previously attempted to restrict code execution in response to a separate issue, CVE-2023-39660.","ecosystems":["PyPI"],"exploits":{"exploitdb":0,"first_seen":null,"github_poc":0,"max_poc_stars":null,"metasploit":0,"nuclei":0,"refs":[],"tier":"weaponised"},"has_fix":false,"headline":"Code execution in pandasai","id":"CVE-2024-23752","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"PyPI","product":null,"products":[],"type":"code_injection","year":"2024"},"n_packages":3,"n_references":1,"next":{"headline":"Code injection in n/a","id":"CVE-2024-23755"},"packages":[{"ecosystem":"PyPI","fixed":[],"introduced":["0"],"last_affected":["1.5.17"],"package":"pandasai","purl":null,"source":"GHSA-5g73-69p4-7gvx"},{"ecosystem":"PyPI","fixed":[],"introduced":["0"],"last_affected":["1.5.17"],"package":"pandasai","purl":"pkg:pypi/pandasai","source":"GHSA-5g73-69p4-7gvx"},{"ecosystem":"PyPI","fixed":[],"introduced":["0"],"last_affected":["1.5.17"],"package":"pandasai","purl":"pkg:pypi/pandasai","source":"PYSEC-2026-446"}],"prev":{"headline":"SQL injection in llama-index","id":"CVE-2024-23751"},"products":["n/a"],"published":"2024-01-22","related":[{"cvss_score":9.8,"headline":"pandasai vulnerable to prompt injection","id":"CVE-2023-39660","kev_date_added":null,"published":"2023-08-21"},{"cvss_score":9.8,"headline":"PandasAI vulnerable to arbitrary code execution","id":"CVE-2023-39661","kev_date_added":null,"published":"2023-08-15"},{"cvss_score":7.3,"headline":"SQL injection in n/a","id":"CVE-2026-30273","kev_date_added":null,"published":"2026-04-01"}],"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":"total"},"state":"PUBLISHED","updated":"2025-05-30","vendors":["n/a"]},"summary":"Attackers can execute arbitrary Python code by crafting specific dataframes in PandasAI, leading to potential system compromise.","url":"https://insights.sbomify.com/CVE-2024-23752/"}