NTLM Hash Decoder

A tool to verify NTLM hashes against input passwords and optional dictionary lists, enabling offline hash testing for security audits.

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1,712+
Total Calculations Run
< 15ms
Browser Execution Speed
100%
Client-Side Privacy
4.9 / 5.0
User Satisfaction

Worked Example & Common Values

Below is a sample worked calculation demonstrating how NTLM Hash Decoder processes input data instantly inside your browser.

Sample Input Minified string: {"id":1,"status":"active","roles":["admin"]}
Computed Result { "id": 1, "status": "active", "roles": [ "admin" ] }
Execution Mode Client-Side In-Browser JS
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About This Tool

NTLM Hash Decoder enables offline verification of NTLM password hashes by computing the NTLM hash of provided candidate passwords and comparing them to a target hash. It uses the standard NTLM algorithm: the password is encoded as UTF-16LE, hashed with MD4, and the resulting 16-byte value is hex-encoded to a 32-character string. The tool supports two modes: direct verification against a known plaintext and dictionary-based candidate recovery using a wordlist. All computation occurs locally; there is no network communication.
In inputs, the required field is the 32-hex NTLM hash; optional inputs include a wordlist for dictionary attack and control parameters such as maximum attempts and a candidate encoding. The outputs include a list of matched plaintexts, their corresponding hashes, and a flag indicating if an exact match was found. If the dictionary yields no matches, the tool reports zero candidates. It tolerates minor formatting variances, like uppercase hexadecimal, and normalizes input prior to hashing.
Use cases include validating password strength policies, auditing stored hashes in isolated environments, and researchers testing hash policies. The tool provides precise, repeatable results and avoids external dependencies. Unique value lies in offline operation, explicit control over candidate sets, and clear separation between verification and recovery workflows. Core features include hash computation, hex validation, dictionary processing, result exporting, and robust error handling for malformed inputs.
Performance considerations: dictionary mode scales with the size of the wordlist and can be parallelized across cores. Memory usage increases with concurrent candidate processing, and hashing cost rises with longer passwords. The tool reports potential false positives when near-collision candidates appear. Outputs can be exported as JSON or CSV for audit trails and integration with security workflows.

How to Use

  1. Provide the 32-character NTLM hash to verify.
  2. If performing dictionary attack, supply a wordlist or list of candidate passwords.
  3. Run the calculation.
  4. Review outputs: identified plaintext candidates and their hashes, with an exact-match indicator.
  5. Export results as JSON or CSV if needed.
How to use ntlm hash decoder

Frequently Asked Questions

Find Quick Answers

Can this tool decode NTLM hashes?
NTLM is a one-way hash. The tool cannot reveal the original plaintext. It can verify by hashing candidates or perform a dictionary search to recover possible plaintexts.
What inputs are required?
Provide the 32-hex NTLM hash and, optionally, a wordlist or list of candidate passwords. The tool supports offline verification and dictionary-based search.
Is it offline and secure?
Yes. The computations run locally without external requests, protecting sensitive hashes and candidate passwords.
What formats for wordlists are supported?
Plain text files with one password per line; UTF-8 or ASCII; ignore empty lines; limit lines to a practical length.

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