Security Deep Dive
AdalFlow
Security posture and CVE patch evidence from tracked releases.
13 critical dependency CVEs affects v1.1.3.
Audit transitive dependencies; consider upgrading or pinning replacements.
Trust Signals — 3 of 9 Present
Evidence already collected from releases and repository metadata.
Security Score
A composite score aggregating Scorecard performance, CVE patch history, OpenSSF badge tier, and dependency vulnerability exposure. Score ≥ 7.0 is healthy; < 4.0 warrants attention.
epss
0.25 / 0.5
No EPSS data
freshness
1.00 / 1.0
5d stale
scorecard
2.00 / 4.0
⚠ Estimated — not yet collected
cve health
0.00 / 2.5
No open CVEs
patch speed
0.50 / 0.5
⚠ Estimated — no CVE patch history
kev exposure
1.50 / 1.5
No KEV exposure
supply chain risk
-1.50 / 10.0
Risk 100.0/100
Score breakdown
schema v2Vulnerability posture
vulnerability posture
0.0
25%
Release responsiveness
release responsiveness
10.0
5%
Dependency exposure
dependency exposure
0.0
10%
Provenance trust
provenance trust
5.0
40%
Maintainer health
maintainer health
10.0
10%
Operational risk
operational risk
8.5
10%
How is this calculated?
The six dimensions group the legacy score signals into weighted categories: direct vulnerability status, patch responsiveness, dependency exposure, provenance checks, maintainer activity, and exploitability risk. The flat component values above remain available for compatibility.
Supply Chain Risk
Risk 100.0/100OpenSSF Badge
Badge indicates adherence to open-source best practices.
Dependency Vulnerabilities
Scanning the SBOM (Software Bill of Materials) of the latest release for known vulnerabilities in transitive dependencies.
Critical
13
High
61
Medium
46
Low
18
Unknown
1
| CVE | Severity | KEV | Dependency | Affected version | Cleared in release |
|---|---|---|---|---|---|
| CVE-2017-18342 | critical | — | pyyaml | — | — |
| CVE-2019-20477 | critical | — | pyyaml | — | — |
| CVE-2019-6446 | critical | — | numpy | — | — |
| CVE-2020-14343 | critical | — | pyyaml | — | — |
| CVE-2020-1747 | critical | — | pyyaml | — | — |
| CVE-2024-8309 | critical | — | langchain-community | 0.2.19 | — |
| CVE-2025-14009 | critical | — | nltk | 3.9.1 | — |
| CVE-2025-15036 | critical | — | mlflow | 3.1.4 | — |
| CVE-2025-15379 | critical | — | mlflow | 3.1.4 | — |
| CVE-2025-68664 | critical | — | langchain-core | 0.2.43 | — |
| CVE-2026-0545 | critical | — | mlflow | 3.1.4 | — |
| CVE-2026-2635 | critical | — | mlflow | 3.1.4 | — |
| CVE-2026-35030 | critical | — | litellm | 1.74.9.post1 | — |
| CVE-2014-1858 | high | — | numpy | — | — |
| CVE-2014-1859 | high | — | numpy | — | — |
| CVE-2016-10075 | high | — | tqdm | — | — |
| CVE-2017-12852 | high | — | numpy | — | — |
| CVE-2021-41495 | high | — | numpy | — | — |
| CVE-2024-37059 | high | — | mlflow | 3.1.4 | — |
| CVE-2025-10279 | high | — | mlflow | 3.1.4 | — |
| CVE-2025-14279 | high | — | mlflow | 3.1.4 | — |
| CVE-2025-14287 | high | — | mlflow | 3.1.4 | — |
| CVE-2025-15031 | high | — | mlflow | 3.1.4 | — |
| CVE-2025-15381 | high | — | mlflow | 3.1.4 | — |
| CVE-2025-53000 | high | — | nbconvert | 7.16.4 | — |
| CVE-2025-62727 | high | — | starlette | 0.47.2 | — |
| CVE-2025-65106 | high | — | langchain-core | 0.2.43 | — |
| CVE-2025-66416 | high | — | mcp | 1.12.3 | — |
| CVE-2025-66418 | high | — | urllib3 | 2.5.0 | — |
| CVE-2025-66471 | high | — | urllib3 | 2.5.0 | — |
| CVE-2025-67221 | high | — | orjson | 3.11.1 | — |
| CVE-2025-69223 | high | — | aiohttp | 3.12.15 | — |
| CVE-2025-6984 | high | — | langchain-community | 0.2.19 | — |
| CVE-2025-6985 | high | — | langchain-text-splitters | 0.2.4 | — |
| CVE-2026-0846 | high | — | nltk | 3.9.1 | — |
| CVE-2026-0847 | high | — | nltk | 3.9.1 | — |
| CVE-2026-0994 | high | — | protobuf | 5.29.5 | — |
| CVE-2026-2033 | high | — | mlflow | 3.1.4 | — |
| CVE-2026-21226 | high | — | azure-core | 1.35.0 | — |
| CVE-2026-21441 | high | — | urllib3 | 2.5.0 | — |
| CVE-2026-23490 | high | — | pyasn1 | 0.6.1 | — |
| CVE-2026-24486 | high | — | python-multipart | 0.0.20 | — |
| CVE-2026-25990 | high | — | pillow | 11.3.0 | — |
| CVE-2026-26007 | high | — | cryptography | 45.0.5 | — |
| CVE-2026-30922 | high | — | pyasn1 | 0.6.1 | — |
| CVE-2026-31958 | high | — | tornado | 6.5.1 | — |
| CVE-2026-32274 | high | — | black | 24.10.0 | — |
| CVE-2026-32597 | high | — | pyjwt | 2.10.1 | — |
| CVE-2026-32874 | high | — | ujson | 5.10.0 | — |
| CVE-2026-32875 | high | — | ujson | 5.10.0 | — |
| CVE-2026-33079 | high | — | mistune | 3.1.3 | — |
| CVE-2026-33231 | high | — | nltk | 3.9.1 | — |
| CVE-2026-33236 | high | — | nltk | 3.9.1 | — |
| CVE-2026-34070 | high | — | langchain-core | 0.2.43 | — |
| CVE-2026-35029 | high | — | litellm | 1.74.9.post1 | — |
| CVE-2026-35397 | high | — | jupyter-server | 2.16.0 | — |
| CVE-2026-35536 | high | — | tornado | 6.5.1 | — |
| CVE-2026-40110 | high | — | jupyter-server | 2.16.0 | — |
| CVE-2026-40171 | high | — | jupyterlab | 4.4.5 | — |
| CVE-2026-40171 | high | — | notebook | 7.4.4 | — |
| CVE-2026-40192 | high | — | pillow | 11.3.0 | — |
| CVE-2026-40934 | high | — | jupyter-server | 2.16.0 | — |
| CVE-2026-42215 | high | — | gitpython | 3.1.45 | — |
| CVE-2026-42266 | high | — | jupyterlab | 4.4.5 | — |
| CVE-2026-42271 | high | — | litellm | 1.74.9.post1 | — |
| CVE-2026-42284 | high | — | gitpython | 3.1.45 | — |
| CVE-2026-42311 | high | — | pillow | 11.3.0 | — |
| CVE-2026-42557 | high | — | jupyterlab | 4.4.5 | — |
| CVE-2026-42557 | high | — | notebook | 7.4.4 | — |
| CVE-2026-42561 | high | — | python-multipart | 0.0.20 | — |
| CVE-2026-44243 | high | — | gitpython | 3.1.45 | — |
| CVE-2026-44244 | high | — | gitpython | 3.1.45 | — |
| CVE-2026-44307 | high | — | mako | 1.3.10 | — |
| GHSA-69x8-hrgq-fjj8 | high | — | litellm | 1.74.9.post1 | — |
| CVE-2021-33430 | medium | — | numpy | — | — |
| CVE-2021-34141 | medium | — | numpy | — | — |
| CVE-2021-41496 | medium | — | numpy | — | — |
| CVE-2025-12695 | medium | — | dspy | 2.6.27 | — |
| CVE-2025-3730 | medium | — | torch | 2.7.1 | — |
| CVE-2025-50181 | medium | — | urllib3 | 1.26.20 | — |
| CVE-2025-57804 | medium | — | h2 | 4.2.0 | — |
| CVE-2025-61669 | medium | — | jupyter-server | 2.16.0 | — |
| CVE-2025-66034 | medium | — | fonttools | 4.59.0 | — |
| CVE-2025-66221 | medium | — | werkzeug | 3.1.3 | — |
| CVE-2025-68146 | medium | — | filelock | 3.18.0 | — |
| CVE-2025-68480 | medium | — | marshmallow | 3.26.1 | — |
| CVE-2025-69227 | medium | — | aiohttp | 3.12.15 | — |
| CVE-2025-69228 | medium | — | aiohttp | 3.12.15 | — |
| CVE-2025-69229 | medium | — | aiohttp | 3.12.15 | — |
| CVE-2025-69872 | medium | — | diskcache | 5.6.3 | — |
| CVE-2025-71176 | medium | — | pytest | 8.4.1 | — |
| CVE-2026-1839 | medium | — | transformers | 4.54.1 | — |
| CVE-2026-21860 | medium | — | werkzeug | 3.1.3 | — |
| CVE-2026-22701 | medium | — | filelock | 3.18.0 | — |
| CVE-2026-22702 | medium | — | virtualenv | 20.32.0 | — |
| CVE-2026-22815 | medium | — | aiohttp | 3.12.15 | — |
| CVE-2026-25645 | medium | — | requests | 2.32.4 | — |
| CVE-2026-27199 | medium | — | werkzeug | 3.1.3 | — |
| CVE-2026-28684 | medium | — | python-dotenv | 1.1.1 | — |
| CVE-2026-33230 | medium | — | nltk | 3.9.1 | — |
| CVE-2026-33865 | medium | — | mlflow | 3.1.4 | — |
| CVE-2026-33866 | medium | — | mlflow | 3.1.4 | — |
| CVE-2026-34515 | medium | — | aiohttp | 3.12.15 | — |
| CVE-2026-34516 | medium | — | aiohttp | 3.12.15 | — |
| CVE-2026-34525 | medium | — | aiohttp | 3.12.15 | — |
| CVE-2026-39377 | medium | — | nbconvert | 7.16.4 | — |
| CVE-2026-39378 | medium | — | nbconvert | 7.16.4 | — |
| CVE-2026-39892 | medium | — | cryptography | 45.0.5 | — |
| CVE-2026-40087 | medium | — | langchain-core | 0.2.43 | — |
| CVE-2026-40347 | medium | — | python-multipart | 0.0.20 | — |
| CVE-2026-40491 | medium | — | gdown | 5.2.0 | — |
| CVE-2026-41182 | medium | — | langsmith | 0.1.147 | — |
| CVE-2026-41205 | medium | — | mako | 1.3.10 | — |
| CVE-2026-41481 | medium | — | langchain-text-splitters | 0.2.4 | — |
| CVE-2026-42308 | medium | — | pillow | 11.3.0 | — |
| CVE-2026-42309 | medium | — | pillow | 11.3.0 | — |
| CVE-2026-42310 | medium | — | pillow | 11.3.0 | — |
| GHSA-27jp-wm6q-gp25 | medium | — | sqlparse | 0.5.3 | — |
| GHSA-78cv-mqj4-43f7 | medium | — | tornado | 6.5.1 | — |
| GHSA-rf74-v2fm-23pw | medium | — | nltk | 3.9.1 | — |
| CVE-2024-12797 | low | — | cryptography | 43.0.3 | — |
| CVE-2024-34062 | low | — | tqdm | — | — |
| CVE-2025-59842 | low | — | jupyterlab | 4.4.5 | — |
| CVE-2025-69224 | low | — | aiohttp | 3.12.15 | — |
| CVE-2025-69225 | low | — | aiohttp | 3.12.15 | — |
| CVE-2025-69226 | low | — | aiohttp | 3.12.15 | — |
| CVE-2025-69230 | low | — | aiohttp | 3.12.15 | — |
| CVE-2026-26013 | low | — | langchain-core | 0.2.43 | — |
| CVE-2026-27205 | low | — | flask | 3.1.1 | — |
| CVE-2026-34073 | low | — | cryptography | 45.0.5 | — |
| CVE-2026-34513 | low | — | aiohttp | 3.12.15 | — |
| CVE-2026-34514 | low | — | aiohttp | 3.12.15 | — |
| CVE-2026-34517 | low | — | aiohttp | 3.12.15 | — |
| CVE-2026-34518 | low | — | aiohttp | 3.12.15 | — |
| CVE-2026-34519 | low | — | aiohttp | 3.12.15 | — |
| CVE-2026-34520 | low | — | aiohttp | 3.12.15 | — |
| CVE-2026-41488 | low | — | langchain-openai | 0.1.25 | — |
| CVE-2026-4539 | low | — | pygments | 2.19.2 | — |
| CVE-2022-42969 | unknown | — | py | 1.11.0 | — |
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