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Informational 18 Bitcoin

chore: Update python dependencies

Public commit record

What the developer wrote

Authored by Christian Decker

70/100 · Adequate
chore: Update python dependencies

I got a bit annoyed by all the "your protobuf gencode is too old"
warnings in downstream packages, so I spent a bit of time updating any
stale dependency and now we're back allowing packages up to the latest
release. That should maximize the compatibility, and allow downstream
packages to chose their own versions, as long as they are
compatible (semantic versioning).
✓ Descriptive subject✓ Uses a recognizable type or scope✓ Provides detailed explanatory context
The short version

What changed, and why it matters

This commit is a routine maintenance update for Python package dependencies in Core Lightning's Python tooling. It bumps versions of libraries like protobuf, grpcio, cryptography, pytest, and Flask, raises the minimum Python version from 3.8 to 3.9, and regenerates protobuf Python code. There is no direct evidence in the commit that this fixes a specific security vulnerability. It is best treated as a hygiene update that may indirectly reduce risk by moving to newer, supported dependency versions, but it also widens version ranges which could allow downstream users to pull in untested or vulnerable versions.

Recommended action

Review the updated dependencies for known CVEs in the new versions, run the project's test suite to catch compatibility regressions, and consider whether widening version ranges is acceptable for your threat model. No urgent security patch is evident from this commit alone.

Security signals we found

01

Dependency version bumps for cryptography, requests, Flask, and protobuf

02

Minimum Python version raised from 3.8 to 3.9 (3.8 is EOL)

03

Protobuf gencode regenerated to match newer runtime

04

Version ranges widened, increasing downstream flexibility but also supply-chain variance

05

No explicit security fix, CVE reference, or vulnerability description in commit

Risk score

Why this scored 18/100

Our methodology →
Potential impact 2/30
Exploitability 1/25
Stealth signal 1/15
Affected reach 3/15
Confidence 8/10
Evidence quality 3/5
Human-validated context

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