{"answers":{"affected":"34 open source packages ship an affected version, including tensorflow, tensorflow-cpu and tensorflow-gpu. It affects 2 products.","exploited":"There is no known exploitation of CVE-2020-15205 in the wild and no public exploit code.","fix":"Upgrade tensorflow to a fixed version for your release line: 1.15.4, 2.0.3, 2.1.2 or 2.2.1.","what":"CVE-2020-15205 is a critical vulnerability in Google Tensorflow, published on 25 Sep 2020. An attacker can exploit it over the internet without logging in, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2020-15205 and fix it if it is affected.\n\nWhat it is: CVE-2020-15205 is a critical vulnerability in Google Tensorflow, published on 25 Sep 2020. An attacker can exploit it over the internet without logging in, with no action from the victim.\nExploitation: There is no known exploitation of CVE-2020-15205 in the wild and no public exploit code.\n\nAffected packages and fixed versions:\n- tensorflow (Bitnami): affected all versions; fixed in 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1\n- tensorflow (PyPI): affected all versions; fixed in 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1\n- tensorflow (PyPI): affected all versions; fixed in 1.15.4\n- tensorflow (PyPI): affected all versions; fixed in 1.15.4\n- tensorflow (PyPI): affected from 2.0.0; fixed in 2.0.3\n- tensorflow (PyPI): affected from 2.0.0; fixed in 2.0.3\n- tensorflow (PyPI): affected from 2.1.0; fixed in 2.1.2\n- tensorflow (PyPI): affected from 2.1.0; fixed in 2.1.2\n- tensorflow (PyPI): affected from 2.2.0; fixed in 2.2.1\n- tensorflow (PyPI): affected from 2.2.0; fixed in 2.2.1\n- tensorflow (PyPI): affected from 2.3.0; fixed in 2.3.1\n- tensorflow (PyPI): affected from 2.3.0; fixed in 2.3.1\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-2020-15205/ (Markdown: https://insights.sbomify.com/CVE-2020-15205/index.md)","id":"CVE-2020-15205","markdown":"https://insights.sbomify.com/CVE-2020-15205/index.md","name":"CVE-2020-15205","record":{"aliases":["BIT-tensorflow-2020-15205","GHSA-g7p5-5759-qv46","PYSEC-2020-128","PYSEC-2020-285","PYSEC-2020-320"],"analysis":{"component_type":"library","fix_type":"upgrade","impacts":["data_read","security_bypass"],"network_reachable":"yes","non_default_config":false,"product_category":"TensorFlow library","requires_auth":"none","summary":"Attackers can leak memory contents via heap overflow in StringNGrams, potentially defeating ASLR in TensorFlow applications.","user_interaction":"not_required","vuln_class":"information_disclosure"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"GitHub_M","cpe":[{"product":"tensorflow","vendor":"google"},{"product":"leap","vendor":"opensuse"}],"cvss":{"score":9,"severity":"critical","source":"cna","vector":"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H","version":"3.1"},"cwes":[{"id":"CWE-122","name":"Heap-based Buffer Overflow"},{"id":"CWE-787","name":"Out-of-bounds Write"},{"id":"CWE-119","name":"Improper Restriction of Operations within the Bounds of a Memory Buffer"}],"description":"In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `data_splits` argument of `tf.raw_ops.StringNGrams` lacks validation. This allows a user to pass values that can cause heap overflow errors and even leak contents of memory In the linked code snippet, all the binary strings after `ee ff` are contents from the memory stack. Since these can contain return addresses, this data leak can be used to defeat ASLR. The issue is patched in commit 0462de5b544ed4731aa2fb23946ac22c01856b80, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.","ecosystems":["Bitnami","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":"Data leak in Tensorflow","id":"CVE-2020-15205","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"Bitnami","product":"google:tensorflow","products":["google:tensorflow","opensuse:leap"],"type":"information_disclosure","year":"2020"},"n_packages":34,"n_references":4,"next":{"headline":"Denial of Service in Tensorflow","id":"CVE-2020-15206"},"packages":[{"ecosystem":"Bitnami","fixed":["1.15.4","2.0.3","2.1.2","2.2.1","2.3.1"],"introduced":["0","2.0.0","2.1.0","2.2.0","2.3.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:bitnami/tensorflow","source":"BIT-tensorflow-2020-15205"},{"ecosystem":"PyPI","fixed":["1.15.4","2.0.3","2.1.2","2.2.1","2.3.1"],"introduced":["0","2.0.0","2.1.0","2.2.0","2.3.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"PYSEC-2020-128"},{"ecosystem":"PyPI","fixed":["1.15.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-g7p5-5759-qv46"},{"ecosystem":"PyPI","fixed":["1.15.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-g7p5-5759-qv46"},{"ecosystem":"PyPI","fixed":["2.0.3"],"introduced":["2.0.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-g7p5-5759-qv46"},{"ecosystem":"PyPI","fixed":["2.0.3"],"introduced":["2.0.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-g7p5-5759-qv46"},{"ecosystem":"PyPI","fixed":["2.1.2"],"introduced":["2.1.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-g7p5-5759-qv46"},{"ecosystem":"PyPI","fixed":["2.1.2"],"introduced":["2.1.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-g7p5-5759-qv46"},{"ecosystem":"PyPI","fixed":["2.2.1"],"introduced":["2.2.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-g7p5-5759-qv46"},{"ecosystem":"PyPI","fixed":["2.2.1"],"introduced":["2.2.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-g7p5-5759-qv46"},{"ecosystem":"PyPI","fixed":["2.3.1"],"introduced":["2.3.0"],"last_affected":[],"package":"tensorflow","purl":null,"source":"GHSA-g7p5-5759-qv46"},{"ecosystem":"PyPI","fixed":["2.3.1"],"introduced":["2.3.0"],"last_affected":[],"package":"tensorflow","purl":"pkg:pypi/tensorflow","source":"GHSA-g7p5-5759-qv46"},{"ecosystem":"PyPI","fixed":["1.15.4","2.0.3","2.1.2","2.2.1","2.3.1"],"introduced":["0","2.0.0","2.1.0","2.2.0","2.3.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"PYSEC-2020-285"},{"ecosystem":"PyPI","fixed":["1.15.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-g7p5-5759-qv46"},{"ecosystem":"PyPI","fixed":["1.15.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-g7p5-5759-qv46"},{"ecosystem":"PyPI","fixed":["2.0.3"],"introduced":["2.0.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-g7p5-5759-qv46"},{"ecosystem":"PyPI","fixed":["2.0.3"],"introduced":["2.0.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-g7p5-5759-qv46"},{"ecosystem":"PyPI","fixed":["2.1.2"],"introduced":["2.1.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-g7p5-5759-qv46"},{"ecosystem":"PyPI","fixed":["2.1.2"],"introduced":["2.1.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-g7p5-5759-qv46"},{"ecosystem":"PyPI","fixed":["2.2.1"],"introduced":["2.2.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-g7p5-5759-qv46"},{"ecosystem":"PyPI","fixed":["2.2.1"],"introduced":["2.2.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-g7p5-5759-qv46"},{"ecosystem":"PyPI","fixed":["2.3.1"],"introduced":["2.3.0"],"last_affected":[],"package":"tensorflow-cpu","purl":null,"source":"GHSA-g7p5-5759-qv46"},{"ecosystem":"PyPI","fixed":["2.3.1"],"introduced":["2.3.0"],"last_affected":[],"package":"tensorflow-cpu","purl":"pkg:pypi/tensorflow-cpu","source":"GHSA-g7p5-5759-qv46"},{"ecosystem":"PyPI","fixed":["1.15.4","2.0.3","2.1.2","2.2.1","2.3.1"],"introduced":["0","2.0.0","2.1.0","2.2.0","2.3.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"PYSEC-2020-320"},{"ecosystem":"PyPI","fixed":["1.15.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-g7p5-5759-qv46"},{"ecosystem":"PyPI","fixed":["1.15.4"],"introduced":["0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-g7p5-5759-qv46"},{"ecosystem":"PyPI","fixed":["2.0.3"],"introduced":["2.0.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-g7p5-5759-qv46"},{"ecosystem":"PyPI","fixed":["2.0.3"],"introduced":["2.0.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-g7p5-5759-qv46"},{"ecosystem":"PyPI","fixed":["2.1.2"],"introduced":["2.1.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-g7p5-5759-qv46"},{"ecosystem":"PyPI","fixed":["2.1.2"],"introduced":["2.1.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-g7p5-5759-qv46"},{"ecosystem":"PyPI","fixed":["2.2.1"],"introduced":["2.2.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-g7p5-5759-qv46"},{"ecosystem":"PyPI","fixed":["2.2.1"],"introduced":["2.2.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-g7p5-5759-qv46"},{"ecosystem":"PyPI","fixed":["2.3.1"],"introduced":["2.3.0"],"last_affected":[],"package":"tensorflow-gpu","purl":null,"source":"GHSA-g7p5-5759-qv46"},{"ecosystem":"PyPI","fixed":["2.3.1"],"introduced":["2.3.0"],"last_affected":[],"package":"tensorflow-gpu","purl":"pkg:pypi/tensorflow-gpu","source":"GHSA-g7p5-5759-qv46"}],"prev":{"headline":"Segfault in Tensorflow","id":"CVE-2020-15204"},"products":["tensorflow"],"published":"2020-09-25","related":[{"cvss_score":9.8,"headline":"TensorFlow vulnerable to heap out-of-buffer read in the QuantizeAndDequantize operation","id":"CVE-2023-25668","kev_date_added":null,"published":"2023-03-24"},{"cvss_score":9.8,"headline":"Integer Overflow or Wraparound in Google TensorFlow","id":"CVE-2018-7575","kev_date_added":null,"published":"2019-04-24"},{"cvss_score":9.3,"headline":"Arbitrary code execution due to YAML deserialization","id":"CVE-2021-37678","kev_date_added":null,"published":"2021-08-12"},{"cvss_score":9.1,"headline":"Path traversal in n/a","id":"CVE-2021-35958","kev_date_added":null,"published":"2021-06-30"},{"cvss_score":9,"headline":"Integer truncation in Shard API usage","id":"CVE-2020-15202","kev_date_added":null,"published":"2020-09-25"},{"cvss_score":9,"headline":"Denial of Service in Tensorflow","id":"CVE-2020-15206","kev_date_added":null,"published":"2020-09-25"}],"sources":[{"class":"attribution","licence":"Apache-2.0","name":"Bitnami","prefix":"BIT"},{"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":null,"exploitation":null,"technical_impact":null},"state":"PUBLISHED","updated":"2024-08-04","vendors":["tensorflow"]},"summary":"Attackers can leak memory contents via heap overflow in StringNGrams, potentially defeating ASLR in TensorFlow applications.","url":"https://insights.sbomify.com/CVE-2020-15205/"}