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Http2 Header Impersonation

CommunityPopular
uphiago
http2-header-impersonation

Spoof HTTP/2 SETTINGS frames and pseudo-header order per browser profile.

Overview

Publisheruphiago
Repositoryrecon-skills
Skill namehttp2-header-impersonation
Stars
1.3K
Forks
213
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by uphiago on GitHub. Read the source before you install it.

Installation

Install the Http2 Header Impersonation AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/uphiago/recon-skills.git /tmp/recon-skills
mkdir -p .claude/skills
cp -r /tmp/recon-skills/recon/http2-header-impersonation .claude/skills/http2-header-impersonation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Http2 Header Impersonation in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Http2 Header Impersonation on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Http2 Header Impersonation is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

HTTP/2 Header Impersonation

Spoof HTTP/2 SETTINGS frames, pseudo-header ordering, and browser-specific HTTP headers to match real browsers at the protocol level. Targets the detection gap between TLS fingerprinting (ClientHello) and JavaScript fingerprinting — the HTTP/2 connection setup and header structure that anti-bot systems analyze. Matches Chrome, Firefox, Safari iOS, and OkHttp (Android) profiles with exact window sizes, header list limits, and header ordering.

When to Use

  • TLS fingerprint is correct but target still detects non-browser HTTP behavior.
  • Target uses HTTP/2-specific detection (SETTINGS frame analysis, pseudo-header order).
  • Need browser-accurate sec-ch-ua, Accept, Accept-Encoding, Priority, and sec-fetch-* headers.
  • Mobile API endpoints require Android OkHttp header profiles.
  • Combining with TLS impersonation for a complete network-level browser profile.

Prerequisites

  • terminal with python3.
  • pip install impit (includes HTTP/2 impersonation via patched h2 library).
  • Or standalone: use the header lists below to configure curl/httpx manually.

Quick Detection

bash
# Check if target sends different responses based on HTTP headers
# Compare browser-like headers vs curl defaults

python3 -c "
import requests

# curl default headers
r1 = requests.get('https://target.com')
print(f'Default: {r1.status_code}')

# Browser-like headers
r2 = requests.get('https://target.com', headers={
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/[REDACTED_IP] Safari/537.36',
    'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8',
    'Accept-Language': 'en-US,en;q=0.9',
    'Accept-Encoding': 'gzip, deflate, br, zstd',
    'sec-ch-ua': '\"Chromium\";v=\"142\", \"Google Chrome\";v=\"142\"',
    'sec-ch-ua-platform': '\"Windows\"',
    'sec-ch-ua-mobile': '?0',
})
print(f'Browser: {r2.status_code}')
"

Procedure

Phase 1 — Full Browser Profile via impit

The impit library applies HTTP/2 SETTINGS, pseudo-header order, and HTTP headers from a single profile:

python
from impit import Impit

# Chrome 142 — complete HTTP/2 + TLS + headers profile
impit = (
    Impit.builder()
    .with_fingerprint("chrome142")
    .build()
)

response = impit.get("https://target.com")
# Headers sent: sec-ch-ua, User-Agent, Accept, Accept-Encoding, Accept-Language,
#              sec-ch-ua-platform, sec-ch-ua-mobile, Priority, sec-fetch-*
# HTTP/2 SETTINGS: stream_window=6291456, conn_window=15663105, max_header=262144
# Pseudo-header order: :method :authority :scheme :path :protocol :status

Phase 2 — Manual Header Configuration

For curl/httpx without impit, configure headers manually to match browser profiles:

Chrome 142 Desktop Headers
bash
curl --max-time 30 --connect-timeout 10 -sk "https://target.com" \
  -H "User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/[REDACTED_IP] Safari/537.36" \
  -H "Accept: text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7" \
  -H "Accept-Language: en-US,en;q=0.9" \
  -H "Accept-Encoding: gzip, deflate, br, zstd" \
  -H "sec-ch-ua: \"Chromium\";v=\"142\", \"Google Chrome\";v=\"142\", \"Not?A_Brand\";v=\"99\"" \
  -H "sec-ch-ua-arch: \"x86\"" \
  -H "sec-ch-ua-bitness: \"64\"" \
  -H "sec-ch-ua-full-version-list: \"Chromium\";v=\"142.0.7444.176\", \"Google Chrome\";v=\"142.0.7444.176\", \"Not?A_Brand\";v=\"[REDACTED_IP]\"" \
  -H "sec-ch-ua-mobile: ?0" \
  -H "sec-ch-ua-model: \"\"" \
  -H "sec-ch-ua-platform: \"Windows\"" \
  -H "sec-ch-ua-platform-version: \"15.0.0\"" \
  -H "sec-ch-ua-wow64: ?0" \
  -H "sec-fetch-dest: document" \
  -H "sec-fetch-mode: navigate" \
  -H "sec-fetch-site: none" \
  -H "sec-fetch-user: ?1" \
  -H "Upgrade-Insecure-Requests: 1" \
  -H "Priority: u=0, i"
Firefox 144 Desktop Headers
bash
curl --max-time 30 --connect-timeout 10 -sk "https://target.com" \
  -H "User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:144.0) Gecko/20100101 Firefox/144.0" \
  -H "Accept: text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8" \
  -H "Accept-Language: en-US,en;q=0.5" \
  -H "Accept-Encoding: gzip, deflate, br, zstd" \
  -H "sec-ch-ua: \"Firefox\";v=\"144\", \"Not?A_Brand\";v=\"99\"" \
  -H "sec-ch-ua-mobile: ?0" \
  -H "sec-ch-ua-platform: \"Windows\"" \
  -H "sec-fetch-dest: document" \
  -H "sec-fetch-mode: navigate" \
  -H "sec-fetch-site: none" \
  -H "sec-fetch-user: ?1" \
  -H "TE: trailers" \
  -H "Upgrade-Insecure-Requests: 1" \
  -H "Priority: u=0, i"
Safari iOS 18 Headers
bash
curl --max-time 30 --connect-timeout 10 -sk "https://target.com" \
  -H "User-Agent: Mozilla/5.0 (iPhone; CPU iPhone OS 18_7 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/18.7 Mobile/15E148 Safari/604.1" \
  -H "Accept: text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8" \
  -H "Accept-Language: en-US,en;q=0.9" \
  -H "Accept-Encoding: gzip, deflate, br" \
  -H "sec-fetch-dest: document" \
  -H "sec-fetch-mode: navigate" \
  -H "sec-fetch-site: none"
OkHttp 4 (Android) Headers
bash
curl --max-time 30 --connect-timeout 10 -sk "https://target.com" \
  -H "User-Agent: okhttp/4.12.0" \
  -H "Accept: application/json, text/plain, */*" \
  -H "Accept-Language: en-US,en;q=0.9" \
  -H "Accept-Encoding: gzip, deflate, br" \
  -H "Connection: Keep-Alive"

Phase 3 — HTTP/2 SETTINGS Frame Spoofing

HTTP/2 SETTINGS frames are sent during connection setup. curl doesn't expose them — use impit or a patched HTTP client:

python
from impit import Impit

# Chrome HTTP/2 SETTINGS:
#   SETTINGS_MAX_CONCURRENT_STREAMS: 1000
#   SETTINGS_INITIAL_WINDOW_SIZE: 6291456
#   SETTINGS_MAX_HEADER_LIST_SIZE: 262144
# Firefox HTTP/2 SETTINGS:
#   SETTINGS_MAX_CONCURRENT_STREAMS: 125
#   SETTINGS_INITIAL_WINDOW_SIZE: 131072

impit = Impit.builder().with_fingerprint("chrome142").build()
response = impit.get("https://target.com")

Phase 4 — Pseudo-Header Order

Browsers send HTTP/2 pseudo-headers in specific orders. This is enforced at the h2 library level:

BrowserPseudo-Header Order
Chrome:method, :authority, :scheme, :path, :protocol, :status
Firefox:method, :path, :authority, :scheme, :protocol, :status
Safari iOS:method, :scheme, :authority, :path, :protocol, :status
OkHttp:method, :path, :authority, :scheme, :protocol, :status

Detection: Some reverse proxies inspect pseudo-header order to distinguish browsers. Firefox places :path before :authority — a unique fingerprint. Safari places :scheme second — another differentiator.

Phase 5 — Header Prioritization

Custom headers take priority over fingerprint defaults to avoid conflicts:

python
impit = Impit.builder().with_fingerprint("chrome142").build()

# Custom headers WIN over fingerprint defaults for same header name
response = impit.get("https://target.com", headers={
    "Authorization": "Bearer custom-token",
    "X-Custom-Header": "value",
})
# Authorization is added; all fingerprint headers still applied for unset names

Phase 6 — Accept-Encoding Strategy

Browser Accept-Encoding values differ significantly:

BrowserAccept-Encoding
Chrome 142gzip, deflate, br, zstd
Chrome 100-116gzip, deflate, br
Firefoxgzip, deflate, br, zstd
Safari iOSgzip, deflate, br
OkHttp 4gzip, deflate, br

Detection: Some CDNs return different content based on Accept-Encoding (brotli vs zstd capability profiling). Match encoding capabilities to your target browser.

Pitfalls

  • curl cannot spoof HTTP/2 SETTINGS frames. Only use curl-based headers for HTTP/1.1 targets or when TLS fingerprinting is the primary concern, not HTTP/2.
  • Header order matters in HTTP/2. Some detectors check the order of header fields, not just their presence.
  • sec-ch-ua must match User-Agent. Using Chrome headers with Firefox UA creates an inconsistency that detectors flag.
  • sec-ch-ua format is version-specific. Chrome 100+ uses different brand strings than Chrome 124+.
  • Mobile headers without TLS matching is detectable. Using Safari iOS headers over a desktop TLS fingerprint is flagged.
  • Custom headers are deduplicated case-insensitively. Adding User-Agent as custom overrides the fingerprint's User-Agent.

Verification

  1. Test against https://httpbin.org/headers — verify all sent headers match the intended browser profile.
  2. For HTTP/2 SETTINGS verification, use https://nghttp2.org/httpbin/headers or a local nghttp2 server.
  3. Compare response size/content between browser-impostor and real browser — identical responses indicate the headers are accepted.
  4. Check Cloudflare cf-ja4 header — it encodes HTTP/2 fingerprint along with TLS.

Related Skills

  • tls-fingerprint-impersonation — TLS ClientHello and JA3/JA4 fingerprint spoofing.
  • stealth-browser-launch — Full browser automation with C++ fingerprint patches.

Frequently asked questions

What does the Http2 Header Impersonation AI skill do?

Spoof HTTP/2 SETTINGS frames and pseudo-header order per browser profile.

Why use Http2 Header Impersonation on TypingMind?

Because you install it once and use it with any model. Http2 Header Impersonation is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Http2 Header Impersonation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/uphiago/recon-skills/tree/main/recon/http2-header-impersonation. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Http2 Header Impersonation?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Http2 Header Impersonation?

As many as you like. As long as a model supports skills, you can use Http2 Header Impersonation with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Http2 Header Impersonation AI skill free?

Yes. It is published on GitHub by uphiago under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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