{"answers":{"affected":"3 open source packages ship an affected version, including praisonai and PraisonAI. It affects 1 product.","exploited":"It is not confirmed as exploited in the wild, but public exploit code for CVE-2026-44337 exists.","fix":"Upgrade praisonai to 4.6.34 or later.","what":"CVE-2026-44337 is a medium-severity SQL injection vulnerability in MervinPraison PraisonAI, published on 8 May 2026. Any signed-in user can exploit it over the network, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2026-44337 and fix it if it is affected.\n\nWhat it is: CVE-2026-44337 is a medium-severity SQL injection vulnerability in MervinPraison PraisonAI, published on 8 May 2026. Any signed-in user can exploit it over the network, with no action from the victim.\nExploitation: It is not confirmed as exploited in the wild, but public exploit code for CVE-2026-44337 exists.\n\nAffected packages and fixed versions:\n- praisonai (PyPI): affected from 2.4.1; fixed in 4.6.34\n- praisonai (PyPI): affected from 2.4.1; fixed in 4.6.34\n- PraisonAI (PyPI): affected from 2.4.1; fixed in 4.6.34\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-2026-44337/ (Markdown: https://insights.sbomify.com/CVE-2026-44337/index.md)","id":"CVE-2026-44337","markdown":"https://insights.sbomify.com/CVE-2026-44337/index.md","name":"CVE-2026-44337","record":{"aliases":["GHSA-3643-7v76-5cj2","PYSEC-2026-2897"],"analysis":{"component_type":"library","fix_type":"upgrade","impacts":["code_execution","data_read"],"network_reachable":"yes","non_default_config":true,"product_category":"Python AI library","requires_auth":"low_privilege","summary":"Attackers can inject SQL or CQL commands via unvalidated collection names in optional knowledge-store backends, potentially executing code or reading data.","user_interaction":"not_required","vuln_class":"sql_injection"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"GitHub_M","cpe":[{"product":"praisonai","vendor":"praison"}],"cvss":{"score":6.3,"severity":"medium","source":"cna","vector":"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L","version":"3.1"},"cwes":[{"id":"CWE-89","name":"Improper Neutralization of Special Elements used in an SQL Command"},{"id":"CWE-20","name":"Improper Input Validation"}],"description":"PraisonAI is a multi-agent teams system. From version 2.4.1 to before version 4.6.34, PraisonAI exposes optional SQL/CQL-backed knowledge-store implementations that build table and index identifiers from unvalidated name and collection arguments. Applications that pass untrusted collection names into these backends can trigger SQL or CQL injection. This issue has been patched in version 4.6.34.","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":"PraisonAI knowledge-store backends interpolate unvalidated collection names into SQL and CQL queries","id":"CVE-2026-44337","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"PyPI","product":null,"products":[],"type":"sql_injection","year":"2026"},"n_packages":3,"n_references":1,"next":{"headline":"PraisonAI ships and generates a legacy API server with authentication disabled by default, allowing unauthenticated workflow execution","id":"CVE-2026-44338"},"packages":[{"ecosystem":"PyPI","fixed":["4.6.34"],"introduced":["2.4.1"],"last_affected":[],"package":"PraisonAI","purl":null,"source":"GHSA-3643-7v76-5cj2"},{"ecosystem":"PyPI","fixed":["4.6.34"],"introduced":["2.4.1"],"last_affected":[],"package":"praisonai","purl":"pkg:pypi/praisonai","source":"GHSA-3643-7v76-5cj2"},{"ecosystem":"PyPI","fixed":["4.6.34"],"introduced":["2.4.1"],"last_affected":[],"package":"praisonai","purl":"pkg:pypi/praisonai","source":"PYSEC-2026-2897"}],"prev":{"headline":"PraisonAI MCP `tools/call` path-traversal and RCE via Python `.pth` injection","id":"CVE-2026-44336"},"products":["PraisonAI"],"published":"2026-05-08","related":[{"cvss_score":10,"headline":"PraisonAIAgents has a sandbox escape via exception frame traversal in `execute_code` (subprocess mode)","id":"CVE-2026-39888","kev_date_added":null,"published":"2026-04-08"},{"cvss_score":9.8,"headline":"Incomplete fix for CVE-2026-34935: Command Injection in MervinPraison/PraisonAI","id":"CVE-2026-41497","kev_date_added":null,"published":"2026-05-08"},{"cvss_score":9.8,"headline":"PraisonAI: Critical RCE via `type: job` workflow YAML","id":"CVE-2026-40288","kev_date_added":null,"published":"2026-04-14"},{"cvss_score":9.8,"headline":"PraisonAI Affected by Remote Code Execution via YAML Deserialization in Agent Definition Loading","id":"CVE-2026-39890","kev_date_added":null,"published":"2026-04-08"},{"cvss_score":9.8,"headline":"PraisonAI: Second-Order SQL Injection in `get_all_user_threads`","id":"CVE-2026-34934","kev_date_added":null,"published":"2026-04-03"},{"cvss_score":9.8,"headline":"PraisonAI: OS Command Injection in MCPHandler.parse_mcp_command()","id":"CVE-2026-34935","kev_date_added":null,"published":"2026-04-03"},{"cvss_score":9.7,"headline":"Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection') in praisonai","id":"CVE-2026-40088","kev_date_added":null,"published":"2026-04-09"}],"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":"poc","technical_impact":"partial"},"state":"PUBLISHED","updated":"2026-05-08","vendors":["MervinPraison"]},"summary":"Attackers can inject SQL or CQL commands via unvalidated collection names in optional knowledge-store backends, potentially executing code or reading data.","url":"https://insights.sbomify.com/CVE-2026-44337/"}