Claude Haiku 5.5 (effort default (no --effort flag) · thinking on) on Fix catastrophic-backtracking (ReDoS) regexes in signup validators without changing what they accept
AClaude Haiku 5.5default · thinking on · Claude Code 2.1.299 (headless -p) · cloud · 2026-10-17 · by @bobsiopener
- Estimated cost
- $0.02
- Wall time
- 4m
- Human step-ins
- 0
- Outcome
- Pass
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Summary
Exact prompt
# Task: fix a ReDoS in the signup validators A pen-test found that crafted inputs make `validate.py` hang the API worker (catastrophic regex backtracking). Make all three validators run in linear-ish time on any input up to 100 KB, **without changing which inputs they accept**: for every input the original accepts or rejects in reasonable time, your version must return the same answer. Notes: `is_username` should accept exactly what the original accepts (word characters with single optional whitespace separators, max 64 chars) - including the empty string. Keep function names/signatures. Python stdlib only (`re` is fine; so is not using regex at all). Write `SECURITY_FIX.md` (2+ lines). No network.
Easy to make fast, hard to keep the exact accepted language: trailing-separator locals, the `$`-before-final-newline quirk, unicode \w, the 64-char cap and empty-string acceptance are all compared against the original. Original benchmark task written for usecaserank.com (not based on a specific public post). Headless, offline run on a reproducible fixture. Each run's notes say how its cost was measured (estimates are marked).
Success criteria: 1. same_accept_reject: is_email/is_username/is_tag_list return the same result as the original on 10,619 validator calls (fixed edge cases + seeded random strings; strings over 20 chars only for is_username because the original is exponential there). 2. linear_time: on 10 crafted inputs up to 100 KB (x3 validators) the slowest call takes < 0.25 s (subprocess capped at 20 s). 3. notes_present: SECURITY_FIX.md has at least 2 lines.
Setup notes: Use Case Scout batch 5 case e09-redos-validator (offline fixture). Prepared with batch5/prepare.sh; hidden key/tests kept outside the agent's work dir. Prompt = TASK.md verbatim. Scored with the scout's scorer: `python score.py WORKDIR KEYDIR`. Tools: Read/Write/Edit/Glob/Grep/Bash, web disabled. Single run, no retries. 1-min load average at scoring: 1.18. Claude Code's own reported cost for claude-haiku-5.5: $0.016042. Score: 3/3 checks. Cost is an ESTIMATE: measured tokens x pricing.json list price (Claude Pro subscription, nothing billed); input_tokens include cache reads and writes. Single run.
Estimated cost List-price estimate; not actually billed.
Metrics
- Estimated cost
- $0.02
- Wall time
- 4m
- Human step-ins
- 0
- Turns
- 11
| Model | Input tok | Output tok | Cost |
|---|---|---|---|
| AClaude Haiku 5.5anthropic/claude-haiku-5.5effort default (no --effort flag) · thinking on | 324,338 | 16,336 | $0.02 |
Reproduce this run
- Use the use case prompt on the use case page.
- Same setup: Claude Haiku 5.5 (anthropic/claude-haiku-5.5, effort default (no --effort flag) · thinking on) via
Claude Code 2.1.299 (headless -p), cloud. - It counts as a success only if it meets every success criterion: 1. same_accept_reject: is_email/is_username/is_tag_list return the same result as the original on 10,619 validator calls (fixed edge cases + seeded random strings; strings over 20 chars only for is_username because the original is exponential there). 2. linear_time: on 10 crafted inputs up to 100 KB (x3 validators) the slowest call takes < 0.25 s (subprocess capped at 20 s). 3. notes_present: SECURITY_FIX.md has at least 2 lines.
- Log model, tokens, wall time, human step-ins and the evidence log, then submit it as a reproduction. A different model? Submit a head-to-head rerun.
How runs are scored: Methodology.
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Automated checks
Trust 80% comes from these checks (how Trust % works).
- Run date is not in the future : passed
- Model is in the dated pricing table : passed
- Cost recomputed from tokens matches : passed
- Cached tokens are consistent : passed
- Output throughput is plausible : passed
- Autonomy matches step-ins : passed
- Step-ins do not exceed turns : passed
- Retries agree with first-try result : passed
- Evidence log SHA-256 matches : passed
- Evidence log is substantial : passed
Evidence log
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},
"type": "message"
}
],
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},
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"webSearchRequests": 0,
"costUSD": 0.016042330000000004,
"contextWindow": 1000000,
"maxOutputTokens": 128000,
"thinkingTokens": 10714,
"canonicalModel": "claude-haiku-5-5",
"provider": "firstParty",
"costBasis": "list"
}
},
"permission_denials": [],
"terminal_reason": "completed",
"fast_mode_state": "off",
"fast_mode_disabled_reason": "sdk_opt_in_required",
"subagent_stats": {
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"num_turns": 11,
"subtype": "success",
"api_error_status": null,
"result": "I rewrote the three regexes in `validate.py` so each one has only one way to match any input. The original hung on a 41-character crafted email, and the new version finishes 100 KB adversarial inputs in a few milliseconds.\n\n**What was wrong:** `EMAIL` and `TAGS` had an optional separator inside a `+` repeat, so one run of letters could be split across iterations in exponentially many ways. `USERNAME` had the same shape.\n\n**The fix:**\n- `EMAIL`: separators are now mandatory between alphanumeric runs. The domain part is unchanged in meaning.\n- `USERNAME`: `^(?:\\w(?:\\w|\\s\\w)*\\s?)?$`. It still allows the empty string, and `is_username` still checks `len <= 64` first.\n- `TAGS`: `^#?[a-z0-9]+(?:(?:,#?|#)[a-z0-9]+)*,?$`.\n\nFunction names and signatures are unchanged. I kept the `$` anchors, which also accept one trailing newline, so that quirk is preserved.\n\n**Verification:**\n- **Equivalence:** I ran the original and new validators side by side on about 5.9M inputs: exhaustive strings up to length 6 over structural alphabets, random strings up to length 18, and hand-picked edge cases. There were zero mismatches. The original was too slow on a handful of long inputs, so those were skipped.\n- **Timing:** adversarial 100 KB inputs take 1\u201311 ms. Run time roughly doubles when the input doubles, up to 400 KB.\n\nI did not add a test file to the repo; the comparison scripts are in `/tmp/redos_check/`. The original is saved there as `validate_orig.py`.\n\nI also wrote `SECURITY_FIX.md`. This directory is not a git repo, so there was no commit or PR to attribute.",
"ttft_ms": 1353,
"type": "result",
"duration_ms": 211508,
"uuid": "[REDACTED]",
"ttft_stream_ms": 1101,
"time_to_request_ms": 187,
"first_content_frame_ms": 1102,
"queued_turn_count": 0,
"result_index": 0
}
]