e2b-dev/E2B

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https://github.com/e2b-dev/E2B · scanned 2026-05-31 01:23 UTC (5 days, 10 hours ago) · 10 languages

661 findings (208 legacy + 453 scanner) 87th percentile · Python · medium (20-100K LoC) Scanner says 73 (higher by 8)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 5 days, 10 hours ago · v2 · 436 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

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100.0% cov · 228 gaps

Score breakdown â 2026-05-18-v5

Component	Sub-score	Weight	Contribution
`structure_score`	60.0	0.15	9.00
`security_score`	89.6	0.25	22.40
`testing_score`	100.0	0.20	20.00
`documentation_score`	79.0	0.15	11.85
`practices_score`	84.0	0.15	12.60
`code_quality`	54.1	0.10	5.41
Overall		1.00	81.3

Severity distribution — click a segment to filter

Active filters: excluding tests × Reset all

Severity: Critical 7 High 144 Medium 53 Low 198 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 208 9-layer 228 Crowd 0 Layer: Quality 193 Cicd 71 Software 134 Security 3 Frontend 32 Hardware 3

Exclude dismissed / FP Exclude test files

Bug-class explainers. Each card groups findings of the same shape — these are the patterns most likely to ship to prod and reappear in future scans unless you systematically fix the cause, not just the instance.

Fragile runtime 146 findings

What it is: Code that runs but breaks under predictable input — division by zero, missing keys, unbounded loops, off-by-one slicing.

Why it matters: Reaches production undetected because happy-path tests pass. First user with a weird input crashes the request.

How AI causes it: AI loves writing the happy path; doesn't probe edge cases unless explicitly asked.

Fix approach: Add property-based tests. Wrap external inputs with explicit validators. Use the framework's typed deserializer (Pydantic, attrs).

12 matching findings on this repo

medium Public web service has no security.txt .well-known/security.txt
medium [ERR001] Silent Exception Swallowing: Silently swallowing all exceptions hides … packages/python-sdk/e2b/template/dockerfile_parse…:276
medium [ERR001] Silent Exception Swallowing: Silently swallowing all exceptions hides … packages/python-sdk/e2b/sandbox_async/filesystem/…:39
medium [ERR001] Silent Exception Swallowing: Silently swallowing all exceptions hides … packages/python-sdk/e2b/sandbox_async/commands/co…:143
medium [COMP001] High cognitive complexity: Function `__init__` has cognitive complexi… packages/python-sdk/e2b/api/__init__.py:99
medium Agent control bridge may listen on a network interface without visible auth packages/python-sdk/e2b/sandbox_sync/main.py:193
medium Agent control bridge may listen on a network interface without visible auth packages/python-sdk/e2b/sandbox_async/main.py:195
medium Agent control bridge may listen on a network interface without visible auth packages/python-sdk/e2b/sandbox/sandbox_api.py:1
medium Calendar/event date parsing can crash on malformed persisted data packages/js-sdk/src/sandbox/sandboxApi.ts:854
medium Bare except continues silently packages/python-sdk/e2b/sandbox_sync/commands/com…:123
medium Bare except continues silently packages/python-sdk/e2b/sandbox/_git/parse.py:46
medium Bare except continues silently packages/python-sdk/e2b/sandbox/_git/parse.py:41

View all fragile runtime findings →

Legacy markers 17 findings

What it is: TODO, FIXME, XXX, HACK comments. Often indicate a known-broken path the author meant to fix.

Why it matters: Each marker is an unfinished thought. Production code shouldn't ship with debt that's documented but not tracked.

How AI causes it: AI mirrors the style of the codebase, so existing TODOs propagate into new code.

Fix approach: Convert each into a ticket. Delete the comment when the ticket lands. Use a pre-commit hook to block new TODOs without an issue link.

12 matching findings on this repo

low Legacy-named symbol `server_v2` in packages/cli/tests/commands/template/init.te…
low Legacy-named symbol `test_traces_on_copy` in packages/python-sdk/tests/sync/tem…
low Legacy-named symbol `test_from_dockerfile_with_multi_source_copy` in packages/p…
low Legacy-named symbol `test_rename_old` in packages/python-sdk/tests/sync/sandbox…
low Legacy-named symbol `test_traces_on_copy` in packages/python-sdk/tests/async/te…
low Legacy-named symbol `test_from_dockerfile_with_multi_source_copy` in packages/p…
low Legacy-named symbol `test_rename_old` in packages/python-sdk/tests/async/sandbo…
low Legacy-named symbol `template_build_request_v2` in packages/python-sdk/e2b/api/…
low Legacy-named symbol `template_build_request_v2` in packages/python-sdk/e2b/api/…
low Legacy-named symbol `TemplateLegacy` in packages/python-sdk/e2b/api/client/mode…
low Legacy-named symbol `template_build_start_v2` in packages/python-sdk/e2b/api/cl…
low Legacy-named symbol `template_build_request_v2` in packages/python-sdk/e2b/api/…

View all legacy markers findings →

Commented-out code 7 findings

What it is: Lines of source that were intentionally disabled but never deleted.

Why it matters: Git already remembers history — commented code rots, becomes wrong, and adds noise to diffs.

How AI causes it: AI sometimes comments out broken code instead of fixing it. Reviewers approve out of inertia.

Fix approach: Delete. Trust `git log`. If you really need to remember, save it in a notes file under `docs/`.

7 matching findings on this repo

info Commented-code block (12 lines) in packages/cli/tests/commands/sandbox/backend_…
info Commented-code block (5 lines) in packages/cli/src/utils/openBrowser.ts:3
info Commented-code block (5 lines) in packages/python-sdk/tests/sync/template_sync/…
info Commented-code block (5 lines) in packages/python-sdk/tests/async/template_asyn…
info Commented-code block (9 lines) in packages/python-sdk/e2b/template/utils.py:67
info Commented-code block (9 lines) in packages/js-sdk/src/template/utils.ts:44
info Commented-code block (5 lines) in packages/js-sdk/src/template/buildApi.ts:117

View all commented-out code findings →

Config drift 3 findings

What it is: Settings duplicated across env files, Docker compose, K8s, and code defaults, all with slightly different values.

Why it matters: Production behaviour depends on whichever copy your loader reads first. Subtle bugs in staging that don't reproduce in dev.

How AI causes it: AI writes new config from memory rather than reading the existing source.

Fix approach: Pick one source of truth (env vars + a settings module). Have every other place import from there. Lint for duplicates in CI.

3 matching findings on this repo

low File has no detected symbols: packages/cli/tsup.config.js
low File has no detected symbols: packages/cli/vitest.config.ts
low Stray `console.log` in TS/JS — packages/cli/src/commands/auth/configure.ts:22

View all config drift findings →

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