AGENT SKILL

atheris-fuzzing-current

Build and qualify bounded coverage-guided Python fuzzing harnesses with Atheris. Use for parser or API fuzzing, structured inputs, crash replay and native extension campaign setup; preserve byte domains, target instrumentation and explicit sanitizer scope.

License 许可
CC-BY-SA-4.0
最近更新
2026-11-11
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01 前言 Front Matter

name
atheris-fuzzing-current
license
CC-BY-SA-4.0
metadata
{ "status": "experimental-unbenchmarked" }
description
Build and qualify bounded coverage-guided Python fuzzing harnesses with Atheris. Use for parser or API fuzzing, structured inputs, crash replay and native extension campaign setup; preserve byte domains, target instrumentation and explicit sanitizer scope.

02 资源文件 4

03 SKILL.md 正文

Atheris fuzzing

Define the target contract first: accepted bytes/text/typed inputs, documented rejections, invariants and independently specified wrong outcomes. Keep crash replay, coverage, semantic correctness and native memory-safety results separate.

Verify the latest stable release and platform artifacts before installation. As qualified on 2026-10-02, Atheris 3.1.0 has Linux x86-64 wheels for Python 3.12–3.14; its README also advertises source support for 3.11. Only Linux/Python 3.14.8 pure-Python execution was qualified here. Pin dependency digests and the execution image; verify importlib.metadata.version("atheris"). A newer source HEAD or supported-version statement is not proof of a matching release wheel.

Instrument the actual Python target before importing it; instrument the wrapper when needed for initial coverage. Verify that executions reach target branches. Catch only its documented input-rejection exceptions. Preserve unexpected exceptions. Include empty and malformed inputs when the contract requires them. Keep harness state deterministic and reset mutable state between inputs.

Pass bytes directly when the API accepts bytes. For text APIs, decode according to the specified encoding/error policy; do not silently drop invalid bytes unless that normalization is explicitly the target. An HTTPResponse supplied with body bytes tests body reading, not HTTP message parsing. Choose the actual wire parser when status, headers, framing or request syntax is in scope.

For typed targets, use FuzzedDataProvider with bounded fields in a fixed order. Treat its schema as part of corpus provenance. Exhausted input yields defaults; measure meaningful target coverage, valid-domain reach and input diversity. Require a minimum length only when the independently specified target requires it.

Run in an owned disposable environment with explicit wall-clock, per-input, memory, process, output, input-size and corpus/artifact bounds. Keep the target offline unless networking is explicitly required and isolated. Start with a qualified small corpus and a bounded run; -atheris_runs=N permits graceful Python coverage export, whereas libFuzzer's -runs=N does not guarantee it. Record exact versions, flags, source/corpus hashes, instrumentation, seed, resources, raw outputs and cleanup. Reproduce and minimize failures before classifying them; known-seed replay does not establish new bug discovery.

Native extensions need a separate qualification: a compatible Clang/libFuzzer/ sanitizer build, target instrumentation symbols, successful runtime startup and an observed known instrumented defect. Locate installed preload libraries with atheris.path() and verify the selected file, rather than hard-coding an interpreter path or using the package's subdirectory. Do not preload globally. Document interpreter accommodations and excluded leak/exception classes; allocation denial of service is not universally low impact. Preserve independent semantic/error tests alongside a narrowly scoped native campaign.

See qualification boundaries. Original provenance and attribution accompany this overlay. No coding-agent improvement is established.

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