Agent skill

Tls Fingerprint Impersonation

Spoof TLS ClientHello and JA4 fingerprints for browser impersonation.

MITAuto-check passedSecurity

Install Tls Fingerprint Impersonation

skills CLI

$ npx skills add uphiago/recon-skills --skill tls-fingerprint-impersonation -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install uphiago/recon-skills tls-fingerprint-impersonation --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/uphiago/recon-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/recon/tls-fingerprint-impersonation .claude/skills/tls-fingerprint-impersonation && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "tls-fingerprint-impersonation" agent skill from https://github.com/uphiago/recon-skills/tree/main/recon/tls-fingerprint-impersonation into .claude/skills/tls-fingerprint-impersonation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tls-fingerprint-impersonation", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/uphiago/recon-skills/tree/main/recon/tls-fingerprint-impersonation

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add uphiago/recon-skills --skill tls-fingerprint-impersonation -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install uphiago/recon-skills tls-fingerprint-impersonation --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/uphiago/recon-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/recon/tls-fingerprint-impersonation .agents/skills/tls-fingerprint-impersonation && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "tls-fingerprint-impersonation" agent skill from https://github.com/uphiago/recon-skills/tree/main/recon/tls-fingerprint-impersonation into .agents/skills/tls-fingerprint-impersonation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tls-fingerprint-impersonation", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add uphiago/recon-skills --skill tls-fingerprint-impersonation -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install uphiago/recon-skills tls-fingerprint-impersonation --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/uphiago/recon-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/recon/tls-fingerprint-impersonation .cursor/skills/tls-fingerprint-impersonation && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "tls-fingerprint-impersonation" agent skill from https://github.com/uphiago/recon-skills/tree/main/recon/tls-fingerprint-impersonation into .cursor/skills/tls-fingerprint-impersonation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tls-fingerprint-impersonation", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/uphiago/recon-skills.git --path recon/tls-fingerprint-impersonation

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add uphiago/recon-skills --skill tls-fingerprint-impersonation -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install uphiago/recon-skills tls-fingerprint-impersonation --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/uphiago/recon-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/recon/tls-fingerprint-impersonation .gemini/skills/tls-fingerprint-impersonation && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "tls-fingerprint-impersonation" agent skill from https://github.com/uphiago/recon-skills/tree/main/recon/tls-fingerprint-impersonation into .gemini/skills/tls-fingerprint-impersonation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tls-fingerprint-impersonation", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install uphiago/recon-skills tls-fingerprint-impersonation

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add uphiago/recon-skills --skill tls-fingerprint-impersonation -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/uphiago/recon-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/recon/tls-fingerprint-impersonation .github/skills/tls-fingerprint-impersonation && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "tls-fingerprint-impersonation" agent skill from https://github.com/uphiago/recon-skills/tree/main/recon/tls-fingerprint-impersonation into .github/skills/tls-fingerprint-impersonation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tls-fingerprint-impersonation", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add uphiago/recon-skills --skill tls-fingerprint-impersonation -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install uphiago/recon-skills tls-fingerprint-impersonation --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/uphiago/recon-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/recon/tls-fingerprint-impersonation .opencode/skills/tls-fingerprint-impersonation && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "tls-fingerprint-impersonation" agent skill from https://github.com/uphiago/recon-skills/tree/main/recon/tls-fingerprint-impersonation into .opencode/skills/tls-fingerprint-impersonation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tls-fingerprint-impersonation", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: tls-fingerprint-impersonation
GitHub stars: 1.3k
Token cost: ~2.1k tokens
SKILL.md length: 577 words
Files: 1
Skills in repo: 23
Repo updated: Sep 1, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Spoof TLS ClientHello and JA4 fingerprints for browser impersonation.

Works in 7 steps: Browser Profile Selection → Basic Request → With Proxy → …
Tasks that involve Cryptography
SKILL.md covers When to Use, Prerequisites, Quick Detection and Procedure, plus 4 more sections
Calls python3, curl and pip; reaches howsmyssl.com and cloudflare.com

What it does

Tls Fingerprint Impersonation is an agent skill from uphiago/recon-skills. Spoof TLS ClientHello and JA4 fingerprints for browser impersonation.

Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Requires curl, httpx, python3

It sits in Security, covering Cryptography. It works with Rust and iOS. The repository describes itself as: Recon & pentest skill pack. CORS, XSS, SQLi, SSRF, RCE, WordPress, MCP, cloud, subdomain takeover, and more. Field-tested. MIT. Full write-up at hiago.sh. The licence is MIT.

When your agent uses it

Tasks that involve Cryptography

Example prompts

“/tls-fingerprint-impersonation”

Requirements

Python 3
Node.js
Compatibility (from SKILL.md): Requires curl, httpx, python3

Workflow steps

7 steps, taken from the step headings in SKILL.md.

Browser Profile Selection
Basic Request
With Proxy
Custom Headers
Cookie Session
Fingerprint Selection Logic
JA4 Hash Validation

What it can do on your machine

Read from SKILL.md and the folder at commit 1260244. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
- python3
- curl
- pip
- npm
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
- howsmyssl.com
- cloudflare.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Compatibility
Requires curl, httpx, python3
From compatibility in the SKILL.md frontmatter.

Context cost

Tls Fingerprint Impersonation loads about 2.1k tokens when it runs. Until then it costs about 25 tokens; SKILL.md has 577 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~25
When it runs · the whole SKILL.md, loaded when a task matches: ~2.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from uphiago/recon-skills at commit 1260244, republished under its MIT licence (© uphiago). 577 words, ~2,099 tokens.

Download SKILL.mdSave it as .claude/skills/tls-fingerprint-impersonation/SKILL.md (or your agent's skills folder).

name: tls-fingerprint-impersonation
description: Spoof TLS ClientHello and JA4 fingerprints for browser impersonation.
compatibility: Requires curl, httpx, python3
version: 1.1.0
revision_date: 2026-07-25
license: MIT
platforms: linux
tags: recon, TLS, JA3, JA4, fingerprint, impersonation, HTTP, browser
category: recon
related_skills: http2-header-impersonation, stealth-browser-launch, humanize-automation

TLS Fingerprint Impersonation

Spoof TLS ClientHello parameters — cipher suites, key exchange groups, signature algorithms, and extension order — to match real browsers at the JA3/JA4 fingerprint level. Uses patched rustls to rebuild the TLS layer with browser-identical configurations. Bypasses TLS fingerprinting detection (Cloudflare, Akamai, F5) that flags non-browser TLS stacks. Supports 20 browser profiles including Chrome 100-142, Firefox 128-144, Safari iOS 18, and OkHttp 3-5 (Android).

When to Use

Target returns 403/blocked on curl/httpx even with correct User-Agent headers.
Cloudflare or Akamai is fingerprinting TLS ClientHello (JA3/JA4 mismatch with browser).
API probing requires mobile-app impersonation (OkHttp fingerprint for Android).
Need high-throughput HTTP requests that pass TLS fingerprint checks without running a full browser.
Target shows different behavior based on TLS fingerprint (mobile vs desktop endpoints).

Prerequisites

terminal with python3.
Python: pip install impit (wraps the Rust library via PyO3).
Or Node.js: npm install impit (native binding).
Or Rust: impit crate with patched dependencies in Cargo.toml.

Quick Detection

bash

# Check if a target blocks non-browser TLS
curl --max-time 30 --connect-timeout 10 -sk https://target.com | head -1
# If 403, test with browser impersonation:
python3 -c "
from impit import Impit
impit = Impit.builder().with_fingerprint('chrome142').build()
r = impit.get('https://target.com').text
print(r[:200])
"

Procedure

Phase 1 — Browser Profile Selection

Choose the right fingerprint for your target:

Profile	Use case	Key differentiator
`chrome142`	Modern desktop	Latest Chrome, post-quantum KEX (X25519MLKEM768), GREASE
`chrome100`	Legacy systems	Older cipher suites, no GREASE in key exchange
`firefox144`	Firefox desktop	Different pseudo-header order, FFDHE groups, SHA-1 signatures
`safari_ios18`	iOS mobile	3DES ciphers, duplicate signature algorithm, no session tickets
`okhttp4`	Android apps	BoringSSL profile, no GREASE, no ECH, simpler cipher suites
`chrome124`	Common default	Good balance of modern compatibility and detection pass rate

python

from impit import Impit

# Chrome 142 (latest)
client = Impit.builder().with_fingerprint("chrome142").build()

# Firefox 144
client = Impit.builder().with_fingerprint("firefox144").build()

# Safari iOS 18 (mobile API endpoints)
client = Impit.builder().with_fingerprint("ios18").build()

# OkHttp 4 (Android app impersonation)
client = Impit.builder().with_fingerprint("okhttp4").build()

Phase 2 — Basic Request

python

from impit import Impit

impit = (
    Impit.builder()
    .with_fingerprint("chrome142")
    .with_ignore_tls_errors(True)  # for self-signed certs during recon
    .with_http3()                   # HTTP/3 support
    .with_fallback_to_vanilla(True) # retry without fingerprint if blocked
    .build()
)

response = impit.get("https://target.com")
print(response.status_code)
print(response.headers)
print(response.text()[:500])

Phase 3 — With Proxy

python

impit = (
    Impit.builder()
    .with_fingerprint("chrome142")
    .with_proxy("http://user:pass@residential-proxy:8080")
    .with_default_timeout(15_000)  # 15 seconds in milliseconds
    .build()
)

response = impit.get("https://target.com/api/endpoint")

Phase 4 — Custom Headers

python

# Custom headers are merged with fingerprint defaults
# Fingerprint headers have lower priority — custom headers win on conflict
response = impit.get(
    "https://target.com/api/v1",
    headers={
        "X-Forwarded-For": "[REDACTED_IP]",
        "Authorization": "Bearer token",
    }
)

python

from impit.cookie import Jar

impit = (
    Impit.builder()
    .with_fingerprint("chrome142")
    .with_cookie_store(Jar())  # persistent cookie jar
    .build()
)

# Login
impit.post("https://target.com/login", json={
    "username": "admin", "password": "admin"
})

# Authenticated request — cookies preserved automatically
response = impit.get("https://target.com/dashboard")

Phase 6 — Fingerprint Selection Logic

Choose based on target characteristics:

python

def select_fingerprint(target_url):
    """Auto-select browser fingerprint based on target."""
    if "mobile" in target_url or "api/v2" in target_url:
        return "ios18"
    elif "android" in target_url or "play.google" in target_url:
        return "okhttp4"
    elif target_url.startswith("https://"):
        return "chrome142"  # default for modern HTTPS
    return "chrome124"

Phase 7 — JA4 Hash Validation

Verify your TLS fingerprint is working correctly:

bash

# Test against a site that returns JA4 hash in response headers
python3 -c "
from impit import Impit
impit = Impit.builder().with_fingerprint('chrome142').build()
r = impit.get('https://cloudflare.com/cdn-cgi/trace')
print(r.text())
# Look for JA4 hash in trace output or response headers
"

Browser Fingerprint Reference

TLS Configuration per Browser

Feature	Chrome 142	Firefox 144	Safari iOS 18	OkHttp 4
TLS versions	1.3 + 1.2	1.3 + 1.2	1.3 + 1.2	1.3 + 1.2
GREASE cipher	✅ (pos 1)	❌	✅	❌
GREASE key exchange	✅ (pos 1)	❌	✅	❌
Post-quantum (MLKEM768)	✅	✅	✅	❌
FFDHE groups	❌	✅ (2048/3072)	❌	❌
SHA-1 signatures	❌	✅	✅ (legacy)	✅ (RSA only)
ECH GREASE	✅	✅	❌	❌
3DES ciphers	❌	❌	✅	❌
Certificate compression	Brotli	Zlib+Brotli+Zstd	Zlib	❌
Delegated credentials	❌	✅	❌	❌
Session tickets	✅	✅	❌	✅
Duplicate signatures	❌	❌	✅ (RsaPssRsaSha384)	❌

Show full SKILL.md (238 more words)Show less

HTTP/2 Settings per Browser

Browser	Stream Window	Connection Window	Pseudo-Header Order
Chrome	6,291,456	15,663,105	`:method :authority :scheme :path`
Firefox	131,072	12,517,377	`:method :path :authority :scheme`
Safari iOS	2,097,152	10,485,760	`:method :scheme :authority :path`
OkHttp	16,777,216	16,777,216	`:method :path :authority :scheme`

Multipart Boundary Format

Browser	Format	Example
Chrome	`----WebKitFormBoundary` + 16 alphanumeric	`----WebKitFormBoundaryx8fH3kLm9pQr2sTv`
Firefox	`----geckoformboundary` + hex u64 values	`----geckoformboundary3fa8c10e5d6b2904`
OkHttp	UUID v4	`550e8400-e29b-41d4-a716-446655440000`

Pitfalls

Not all sites use TLS fingerprinting. Test with curl first — if it works, TLS fingerprinting is not the blocker.
Fingerprint must match User-Agent. Using Chrome TLS with Firefox UA headers will be detected.
HTTP/1.1-only sites don't use HTTP/2 impersonation. The with_http3() flag only matters for sites that support it.
OkHttp 3 is TLS 1.2 only. Some modern servers reject TLS 1.2 connections.
TLS fingerprint caching means first request is slowest. CryptoProvider instances are cached per fingerprint — subsequent requests are fast.
Vanilla fallback may leak your real TLS fingerprint. Disable vanilla_fallback if stealth is critical.

Verification

Confirm TLS fingerprint matches target browser using https://www.howsmyssl.com/ or Cloudflare trace endpoint.
Check cf-ja4 response header when hitting Cloudflare-protected sites.
Verify response status changes from 403 → 200 when using browser fingerprint vs vanilla curl.
Test with multiple browser profiles to find the one that passes the target's detection.

http2-header-impersonation — HTTP/2 pseudo-header ordering and SETTINGS frame matching.
stealth-browser-launch — Full browser automation with C++ fingerprint patches for JS-heavy targets.
humanize-automation — Human-like interaction patterns for behavioral detection bypass.

Files

Just SKILL.md in recon/tls-fingerprint-impersonation of uphiago/recon-skills.

Open the folder on GitHubat commit 1260244

Compare with similar skills

Tls Fingerprint Impersonation next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Tls Fingerprint Impersonation compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Tls Fingerprint Impersonation this skilluphiago/recon-skills	1.3k	—	~2.1k	Automated safety check: Pass	MIT	1 mo ago
Constant-Time Analysistrailofbits/skills	7.5k	—	~3.3k	Automated safety check: Notes	CC-BY-SA-4.0	yesterday
Security Reviewgithub/awesome-copilot	40k	1 repos	~2.3k	Automated safety check: Notes	MIT	2 days ago
Azure Keyvault Keys Rustaiskillstore/marketplace	433	4 repos	~1.1k	Automated safety check: Pass	None	yesterday
Pump Securitynirholas/pump-fun-sdk	134	—	~892	Automated safety check: Pass	Custom licence	yesterday
Azure Keyvault Keys Rustmicrosoft/skills	3.1k	—	~1.9k	Automated safety check: Pass	MIT	yesterday

Similar skills

Constant-Time Analysis
trailofbits/skills
Official
Compiles cryptographic code and inspects the assembly or bytecode for variable-time instructions, then triages which flagged operations actually touch secrets.
7.5k GitHub stars~3.3k tokensUpdated yesterday
SecurityAuto-check: notes
Security Review
github/awesome-copilot
Official
AI-powered codebase security scanner that reasons about code like a security researcher — tracing data flows, understanding component interactions, and catching vulnerabilities that pattern-matching…
40k GitHub starsUsed in 1 repo~2.3k tokens
SecurityAuto-check: notes
Azure Keyvault Keys Rust
aiskillstore/marketplace
Azure Key Vault Keys SDK for Rust. An agent skill from aiskillstore/marketplace.
433 GitHub starsUsed in 4 repos~1.1k tokens
SecurityAuto-check passed
Pump Security
nirholas/pump-fun-sdk
Defense-in-depth security across Rust, TypeScript, and Bash for the Pump SDK — cryptographic key handling, memory zeroization, secure file I/O, input validation, privilege management, dependency…
134 GitHub stars~892 tokensUpdated yesterday
SecurityAuto-check passed
Azure Keyvault Keys Rust
microsoft/skills
Official
Azure Key Vault Keys library for Rust. An agent skill from microsoft/skills.
3.1k GitHub stars~1.9k tokensUpdated yesterday
SecurityAuto-check passed
Common Security Audit
HoangNguyen0403/agent-skills-standard
Probe for hardcoded secrets, injection surfaces, unguarded routes, business logic flaws, and platform-specific weaknesses across backend (Node, Go, Java, Python, Rust), frontend (React, Angular…
572 GitHub stars~977 tokensUpdated yesterday
SecurityAuto-check passed

Questions about Tls Fingerprint Impersonation

What does Tls Fingerprint Impersonation do?

Spoof TLS ClientHello and JA4 fingerprints for browser impersonation. Tls Fingerprint Impersonation is an agent skill from uphiago/recon-skills. Spoof TLS ClientHello and JA4 fingerprints for browser impersonation.

When should I use Tls Fingerprint Impersonation?

Tls Fingerprint Impersonation fits situations like: tasks that involve Cryptography.

How do I install Tls Fingerprint Impersonation in Claude Code?

Run `npx skills add uphiago/recon-skills --skill tls-fingerprint-impersonation -a claude-code`. Or copy the skill folder (recon/tls-fingerprint-impersonation in uphiago/recon-skills) into .claude/skills/tls-fingerprint-impersonation in your project. Claude Code loads it when a task matches its description.

How do I install Tls Fingerprint Impersonation in Codex?

Run `npx skills add uphiago/recon-skills --skill tls-fingerprint-impersonation -a codex`. Or copy the skill folder (recon/tls-fingerprint-impersonation in uphiago/recon-skills) into .agents/skills/tls-fingerprint-impersonation in your project. Codex loads it when a task matches its description.

Can I use Tls Fingerprint Impersonation in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add uphiago/recon-skills --skill tls-fingerprint-impersonation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tls-fingerprint-impersonation, .gemini/skills/tls-fingerprint-impersonation, .github/skills/tls-fingerprint-impersonation and .opencode/skills/tls-fingerprint-impersonation in your project.

What does Tls Fingerprint Impersonation need to run?

Going by SKILL.md and its folder, Tls Fingerprint Impersonation needs the command-line tools its instructions call (python3, curl, pip and npm). Our summary lists: Python 3; Node.js. Compatibility (from SKILL.md): Requires curl, httpx, python3.

Does Tls Fingerprint Impersonation access the network?

SKILL.md names 2 domains. In commands or code: howsmyssl.com and cloudflare.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Tls Fingerprint Impersonation safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Tls Fingerprint Impersonation use?

Tls Fingerprint Impersonation is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Tls Fingerprint Impersonation use?

About 2.1k tokens (SKILL.md is roughly 8.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Tls Fingerprint Impersonation?

Skills that share tags, products or a category with Tls Fingerprint Impersonation: Constant-Time Analysis (trailofbits/skills, 7.5k stars), Security Review (github/awesome-copilot, 40k stars), Azure Keyvault Keys Rust (aiskillstore/marketplace, 433 stars) and Pump Security (nirholas/pump-fun-sdk, 134 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Tls Fingerprint Impersonation?

uphiago (a GitHub user) maintains it in uphiago/recon-skills, which has 1,293 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on September 1, 2026.

Source: uphiago/recon-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Tls Fingerprint Impersonation

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Compatibility

Context cost

Safety

SKILL.md

TLS Fingerprint Impersonation

When to Use

Prerequisites

Quick Detection

Procedure

Phase 1 — Browser Profile Selection

Phase 2 — Basic Request

Phase 3 — With Proxy

Phase 4 — Custom Headers

Phase 5 — Cookie Session

Phase 6 — Fingerprint Selection Logic

Phase 7 — JA4 Hash Validation

Browser Fingerprint Reference

TLS Configuration per Browser

HTTP/2 Settings per Browser

Multipart Boundary Format

Pitfalls

Verification

Related Skills

Files

Compare with similar skills

Similar skills

More from uphiago/recon-skills

Related

Questions about Tls Fingerprint Impersonation