{"answers":{"affected":"","exploited":"It is not confirmed as exploited in the wild, but public exploit code for CVE-2026-108958 exists.","fix":"No fix has been published for CVE-2026-108958 yet. Limit exposure of the affected software until one is available.","what":"CVE-2026-108958 is a medium-severity unsafe deserialization vulnerability in TensorLayer, 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-2026-108958 and fix it if it is affected.\n\nWhat it is: CVE-2026-108958 is a medium-severity unsafe deserialization vulnerability in TensorLayer, 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: It is not confirmed as exploited in the wild, but public exploit code for CVE-2026-108958 exists.\n\nAffected product: TensorLayer. 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-2026-108958/ (Markdown: https://insights.sbomify.com/CVE-2026-108958/index.md)","id":"CVE-2026-108958","markdown":"https://insights.sbomify.com/CVE-2026-108958/index.md","name":"CVE-2026-108958","record":{"aliases":["GHSA-8vxw-f7hc-g4ph"],"analysis":{"component_type":"library","fix_type":"no_fix_stated","impacts":["code_execution"],"network_reachable":"yes","non_default_config":false,"product_category":"TensorLayer deep learning library","requires_auth":"none","summary":"Remote attackers can execute arbitrary code via unsafe deserialization in TensorLayer's HDF5 loading function, requiring immediate mitigation due to public exploit availability.","user_interaction":"required","vuln_class":"deserialization"},"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:P","version":"4.0"},"cwes":[{"id":"CWE-502","name":"Deserialization of Untrusted Data"},{"id":"CWE-20","name":"Improper Input Validation"}],"description":"A weakness has been identified in TensorLayer up to 2.2.4. This affects the function load_hdf5_graph of the file tensorlayer/files/utils.py of the component HDF5 Loading. Executing a manipulation of the argument model_config can lead to deserialization. The attack can be executed remotely. The exploit has been made available to the public and could be used for attacks. The project was informed of the problem early through an issue report but has not responded yet.","ecosystems":[],"exploits":{"exploitdb":0,"first_seen":null,"github_poc":0,"max_poc_stars":null,"metasploit":0,"nuclei":0,"refs":[],"tier":"weaponised"},"has_fix":false,"headline":"TensorLayer HDF5 Loading utils.py load_hdf5_graph deserialization","id":"CVE-2026-108958","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":null,"product":null,"products":[],"type":"deserialization","year":"2026"},"n_packages":0,"n_references":6,"next":{"headline":"itsourcecode Online Cake Ordering System addtransacdetail.php sql injection","id":"CVE-2026-108959"},"packages":[],"prev":{"headline":"TinyLLaVA TinyLLaVA_Factory TinyLlavaConfig configuration_tinyllava.py _load_text_config code injection","id":"CVE-2026-108957"},"products":["TensorLayer"],"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":"poc","technical_impact":"partial"},"state":"PUBLISHED","updated":"2026-10-14","vendors":["n/a"]},"summary":"Remote attackers can execute arbitrary code via unsafe deserialization in TensorLayer's HDF5 loading function, requiring immediate mitigation due to public exploit availability.","url":"https://insights.sbomify.com/CVE-2026-108958/"}