ip-obfuscation generates dozens of alternative encodings for IPv4 addresses and URLs — DWORD, octal, hex, and fake-auth @ tricks — for authorized pentesting, filter testing, and phishing awareness labs.
| Tool | HackingLZ/ip-obfuscation — Python and browser-based generator of obfuscated IP/URL forms for security testing |
| Category | URL/IP obfuscation and social-engineering test utility |
| Primary Use | Testing URL parsers and filters, phishing awareness training, and analyzing Windows zone behavior during authorized assessments |
| Safe Use | Educational and documentary analysis for authorized penetration tests, phishing-simulation programs, security research labs, and CTF environments only |
| Telemetry Note | Pure client-side/offline generator using only the Python standard library; it leaves no network footprint itself — defenders observe its output when obfuscated URLs (e.g., DWORD or @-based) appear in proxy logs, mail gateways, or SIEM detections that normalize IPs via inet_aton-style parsing |
HackingLZ/ip-obfuscation is a compact security testing toolkit, written in Python and MIT-licensed, whose entire purpose is to enumerate the many ways a single IPv4 address can be expressed so that a URL parser, a human reader, or a security filter sees something other than the familiar dotted-quad. The repo ships two interchangeable interfaces: a web-based GUI in ip_obfuscator.html that runs in any modern browser with no server, and a CLI in ip_obfuscator.py for scripting and automation. Both produce the same catalog of obfuscation techniques, which makes the tool equally usable in an interactive lab session and in a scripted pipeline. At roughly 45 stars, it is a niche utility, but the technique coverage it packs into a dependency-free standard-library implementation is remarkably thorough.
The technique inventory reads like a taxonomy of historical URL-parsing quirks. On the integer side you get decimal, hex, and octal DWORD forms — 3232235876, 0xC0A80164, 030052000544 — where the whole 32-bit address is collapsed into one numeric token. Dotted variants keep the four-octet shape but encode each octet in hex (0xC0.0xA8.0x1.0x64), octal, or mixed bases. Then there are the genuinely obscure ones: Class B and Class C shorthand (192.11010404, 192.168.356), which exploit the legacy inet_aton() behavior of interpreting fewer-than-four components as progressively larger trailing values, plus overflow techniques that add 2^32 and wrap around. IPv4-mapped IPv6 forms (::ffff:c0a8:164 and its bracketed variants) round out the list, and the fake-auth @ trick prepends an arbitrary domain into the URL authority section so the human-visible prefix is misleading.
Architecturally, the tool is deliberately minimal. The CLI targets Python 3.6+ and has zero external dependencies, which is a practical virtue in the field: you can drop ip_obfuscator.py onto an assessment box without triggering a pip install chain or fighting proxy-restricted environments. The HTML interface mirrors the same generation logic client-side, adding conveniences the CLI handles through flags: an HTTPS toggle, real-time keyword filtering, JSON/CSV export, and a click-to-copy result grid. For teams building phishing-awareness training material, the export functions matter — a JSON dump of every obfuscated form of a lab IP becomes reusable training content.
The CLI surface is well designed for automation. Basic invocation is python3 ip_obfuscator.py 192.168.1.100, and --url switches from bare IP formats to full URL generation. Options like --fake-domain (default google.com), --path, --port, and --https parameterize the output, while --json, --filter, and --list shape it for downstream tooling. One of the more useful flags for blue-team work is --decode, which reverses the process: feed it an obfuscated URL such as http://secure.bank.com@3232235876/login and it normalizes back to 192.168.1.100. That symmetry — generator plus decoder — is what elevates this from a red-team gadget to a general parser-testing instrument.
The standout feature, and the one that justifies attention beyond phishing simulations, is the --zones Windows security zone analysis. The README documents the so-called dot rule (PlainHostName behavior): a hostname without dots resolves to the Local Intranet Zone, while anything with dots lands in the Internet Zone. The tool classifies each generated format against that rule and flags the consequences — dotless numeric forms like decimal DWORDs trigger Intranet Zone treatment, with automatic NTLM/Kerberos credential release, less restrictive ActiveX/script policies, and potential bypass of Mark-of-the-Web prompts. The README even cites MS98-016 as a confirmed, historically documented instance of this bypass. That is real defensive intelligence, not just offensive capability.
What that means in an authorized workflow is concrete. During an internal penetration test within scope, the zone analysis lets you demonstrate to a client why their browser policy might silently release credentials to a dotless numeric host. During phishing-awareness campaigns, the fake-auth forms (secure.bank.com@ followed by an encoded IP) illustrate convincingly why reading only the leftmost part of a URL is dangerous — the user sees a plausible domain, the resolver sees a raw address. And for developers of mail gateways, proxies, or web filters, the tool's exhaustive output set is essentially a ready-made corpus of parser edge cases to unit-test against: if your log normalizer or blocklist matcher fails on 192.168.356, this tool will tell you before an attacker does.
The references section is a good reading list in itself, and its composition tells you the author did homework rather than reinventing folklore: the inet_aton() man page (the BSD sockets function whose liberal parsing semantics birthed most of these formats), MS98-016, a SANS Internet Storm Center diary on IP obfuscation, and Mandiant's writeup on URL schema obfuscation. For defenders, that lineage matters, because these encodings are not exotic — they are decades-old resolver behavior that has repeatedly resurfaced in credential-harvesting campaigns precisely because filters normalize inconsistently while libc-family resolvers do not.
There are watch-items worth noting. The README is explicit about intended use — penetration testing with authorization, security research, phishing awareness training, URL filter testing, and CTF — and equally explicit in its do-not-use-for-malicious-purposes warning, which fits the tool's legitimate framing. The default --fake-domain of google.com in examples is a reminder that when using this in authorized simulations, operators should substitute their own lab domains to avoid confusing third-party infrastructure. The @-trick output also depends heavily on the rendering client; modern browsers have grown stricter about userinfo-in-authority display, so results should be validated against the actual target browser build rather than assumed.
Where this fits in the broader toolchain is as a small, focused complement to things like URL-analysis sandboxes and log parsers. It will not fetch, scan, or interact with anything — it is a pure generator and decoder. That purity is its strength: no telemetry, no network calls, no dependencies, deterministic output. For a security training program, an authorized phishing simulation exercise, or a QA pass on a URL-parsing library, ip-obfuscation is the kind of single-purpose utility that does one job completely, documents the underlying why (zone semantics, resolver history), and stays out of the way otherwise.
HackingLZ/ip-obfuscation.Educational analysis for authorized security professionals. Use only in controlled, authorized environments.
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