AlgoTune AI Agent
AlgoTune is a NeurIPS 2025 benchmark made up of 154 math, physics, and computer science problems. The goal is write code that solves each problem, and is faster than existing implementations.
AlgoTune is an open-source ai agent by oripress, written mainly in Python, with 119 GitHub stars and the MIT license. Its code was last updated Jun 24, 2026.
Scan summary: scanned Nov 5, 2026 at commit dff9914. Seen able to run shell commands, run dynamic code, connect to the internet. Scan policy
dff9914 · Nov 5, 2026Findings (31)
- highHigh. Something risky that needs a close look before you install.dependencies issueDetails are available to the maintainer after claiming this listing.
- highHigh. Something risky that needs a close look before you install.dependencies issueDetails are available to the maintainer after claiming this listing.
- highHigh. Something risky that needs a close look before you install.dependencies issueDetails are available to the maintainer after claiming this listing.
- highHigh. Something risky that needs a close look before you install.dependencies issueDetails are available to the maintainer after claiming this listing.
- highHigh. Something risky that needs a close look before you install.dependencies issueDetails are available to the maintainer after claiming this listing.
- highHigh. Something risky that needs a close look before you install.dependencies issueDetails are available to the maintainer after claiming this listing.
- mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.Deserializes data with pickle/marshal, which can execute code.
AlgoTuner/utils/isolated_benchmark.py:673 - mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.Deserializes data with pickle/marshal, which can execute code.
AlgoTuner/utils/isolated_benchmark.py:674 - mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.Deserializes data with pickle/marshal, which can execute code.
AlgoTuner/utils/isolated_benchmark.py:1471 - mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.Deserializes data with pickle/marshal, which can execute code.
AlgoTuner/utils/isolated_benchmark.py:1902 - mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.Deserializes data with pickle/marshal, which can execute code.
AlgoTuner/utils/k_search.py:56 - mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.Deserializes data with pickle/marshal, which can execute code.
AlgoTuner/utils/memory_leak_patch.py:161 - mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.Deserializes data with pickle/marshal, which can execute code.
AlgoTuner/utils/resource_manager.py:164 - mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.Runs shell commands. Fine for some tools, but it means the agent can run anything your user can.
aws/monitor_jobs.py:33 - mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.Contacts a hard-coded IP address instead of a domain name.
scripts/publish_datasets_hf.py:76 - mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.Contacts a hard-coded IP address instead of a domain name.
scripts/publish_datasets_hf_parallel.py:76 - mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.fsspec@2025.5.1: 1 known vulnerabilityPYSEC-2026-4217
requirements.txt - mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.httplib2@0.22.0: 1 known vulnerabilityPYSEC-2026-3444
requirements.txt - mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.orjson@3.10.18: 1 known vulnerabilityPYSEC-2026-107
requirements.txt - mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.protobuf@5.29.5: 1 known vulnerabilityPYSEC-2026-1805
requirements.txt - mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.pyasn1@0.6.1: 9 known vulnerabilitiesPYSEC-2026-1810, PYSEC-2026-2263, PYSEC-2026-3455, PYSEC-2026-3456, PYSEC-2026-3457 +4 more
requirements.txt - mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.torch@2.7.0: 14 known vulnerabilitiesPYSEC-2025-203, PYSEC-2025-204, PYSEC-2025-205, PYSEC-2025-206, PYSEC-2025-207 +9 more
requirements.txt - mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.urllib3@2.4.0: 8 known vulnerabilitiesPYSEC-2026-141, PYSEC-2026-1994, PYSEC-2026-1996, PYSEC-2026-1997, PYSEC-2026-1998 +3 more
requirements.txt - mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.wheel@0.45.1: 1 known vulnerabilityPYSEC-2026-2047
requirements.txt - lowLow. Minor, or common in normal tools. Shown for information.filelock@3.18.0: 4 known vulnerabilitiesPYSEC-2026-1374, PYSEC-2026-1375, GHSA-69hj-f68j-2879, GHSA-8mx5-7m5m-r77g
requirements.txt - lowLow. Minor, or common in normal tools. Shown for information.idna@3.10: 1 known vulnerabilityPYSEC-2026-215
requirements.txt - lowLow. Minor, or common in normal tools. Shown for information.pylint@3.3.7: 1 known vulnerabilityGHSA-22qq-2fwx-7p67
requirements.txt - lowLow. Minor, or common in normal tools. Shown for information.python-dotenv@1.1.0: 1 known vulnerabilityPYSEC-2026-2270
requirements.txt - lowLow. Minor, or common in normal tools. Shown for information.requests@2.32.3: 2 known vulnerabilitiesPYSEC-2026-1872, PYSEC-2026-2275
requirements.txt - lowLow. Minor, or common in normal tools. Shown for information.setuptools@80.9.0: 2 known vulnerabilitiesPYSEC-2026-3447, GHSA-xmj3-9gf7-h52w
requirements.txt - lowLow. Minor, or common in normal tools. Shown for information.No manifest declaring network access and environment variables (agent.json)
Network activity
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