{"answers":{"affected":"","exploited":"There is no known exploitation of CVE-2026-108961 in the wild and no public exploit code.","fix":"No fix has been published for CVE-2026-108961 yet. Limit exposure of the affected software until one is available.","what":"CVE-2026-108961 is a medium-severity code injection vulnerability in PaddlePaddle PaddleX, published on 13 Oct 2026. An attacker can exploit it over the internet without logging in, and only if a user opens a file or follows a link."},"fix_prompt":"Check this codebase for CVE-2026-108961 and fix it if it is affected.\n\nWhat it is: CVE-2026-108961 is a medium-severity code injection vulnerability in PaddlePaddle PaddleX, published on 13 Oct 2026. An attacker can exploit it over the internet without logging in, and only if a user opens a file or follows a link.\nExploitation: There is no known exploitation of CVE-2026-108961 in the wild and no public exploit code.\n\nAffected product: PaddlePaddle PaddleX. No package-level version data is available, so check the vendor advisory linked from the reference page.\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-2026-108961/ (Markdown: https://insights.sbomify.com/CVE-2026-108961/index.md)","id":"CVE-2026-108961","markdown":"https://insights.sbomify.com/CVE-2026-108961/index.md","name":"CVE-2026-108961","record":{"aliases":["GHSA-cq2c-fqx9-6r6v"],"analysis":{"component_type":"library","fix_type":"patch","impacts":["code_execution"],"network_reachable":"yes","non_default_config":false,"product_category":"PaddleX machine learning library","requires_auth":"none","summary":"Remote attackers can execute arbitrary code via the NormalizeImage preprocessor in PaddlePaddle PaddleX due to unsafe handling of the scale argument.","user_interaction":"required","vuln_class":"code_injection"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"VulDB","cpe":[],"cvss":{"score":5.3,"severity":"medium","source":"cna","vector":"CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:X","version":"4.0"},"cwes":[{"id":"CWE-94","name":"Improper Control of Generation of Code"},{"id":"CWE-74","name":"Improper Neutralization of Special Elements in Output Used by a Downstream Component"}],"description":"A flaw has been found in PaddlePaddle PaddleX up to 3.7.2. Affected by this vulnerability is the function NormalizeImage.__init__ of the file paddlex/inference/models/text_detection/processors.py of the component Preprocessor. This manipulation of the argument scale causes code injection. It is possible to initiate the attack remotely. The pull request to fix this issue awaits acceptance.","ecosystems":[],"exploits":{"exploitdb":0,"first_seen":null,"github_poc":0,"max_poc_stars":null,"metasploit":0,"nuclei":0,"refs":[],"tier":"none_known"},"has_fix":false,"headline":"PaddlePaddle PaddleX Preprocessor processors.py NormalizeImage.__init__ code injection","id":"CVE-2026-108961","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":null,"product":null,"products":[],"type":"code_injection","year":"2026"},"n_packages":0,"n_references":7,"next":{"headline":"storyicon comfyui_segment_anything GroundingDINO Model Loading slconfig.py SLConfig._file2dict code injection","id":"CVE-2026-108962"},"packages":[],"prev":{"headline":"Tiiny-AI PowerInfer FFN GPU-split Loader ggml-cuda.cu create_striped_mat_to_gpu out-of-bounds","id":"CVE-2026-108960"},"products":["PaddleX"],"published":"2026-10-13","related":[],"sources":[{"class":"attribution","licence":"CVE Terms of Use (MITRE)","name":"CVE List","prefix":"CVE"},{"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":"2026-10-15","vendors":["PaddlePaddle"]},"summary":"Remote attackers can execute arbitrary code via the NormalizeImage preprocessor in PaddlePaddle PaddleX due to unsafe handling of the scale argument.","url":"https://insights.sbomify.com/CVE-2026-108961/"}