Skip to main content

HHHash library is calculate HHHash from HTTP servers.

Project description

HTTP Headers Hashing (HHHash)

HTTP Headers Hashing (HHHash) is a technique used to create a fingerprint of an HTTP server based on the headers it returns. HHHash employs one-way hashing to generate a hash value for the set of header keys returned by the server.

For more details about HHHash background, HTTP Headers Hashing (HHHash) or improving correlation of crawled content.

Calculation of the HHHash

To calculate the HHHash, we concatenate the list of headers returned by the HTTP server. This list is ordered according to the sequence in which the headers appear in the server's response. Each header value is separated with :.

The HHHash value is the SHA256 of the list.

HHHash format

hhh:1:20247663b5c63bf1291fe5350010dafb6d5e845e4c0daaf7dc9c0f646e947c29

prefix:version:SHA 256 value

Example

Calculating HHHash from a curl command

Curl will attempt to run the request using HTTP2 by default. In order to get the same hash as the python requests module (which doesn't supports HTTP2), you need to specify the version with the --http1.1 switch.

curl --http1.1 -s -D - https://www.circl.lu/ -o /dev/null  | awk 'NR != 1' | cut -f1 -d: | sed '/^[[:space:]]*$/d' | sed -z 's/\n/:/g' | sed 's/.$//' | sha256sum | cut -f1 -d " " | awk {'print "hhh:1:"$1'}

Output value

hhh:1:78f7ef0651bac1a5ea42ed9d22242ed8725f07815091032a34ab4e30d3c3cefc

Limitations

HHHash is an effective technique; however, its performance is heavily reliant on the characteristics of the HTTP client requests. Therefore, it is important to note that correlations between a set of hashes are typically established when using the same crawler or HTTP client parameters.

HTTP2 requires the headers to be lowercase. It will then changes the hash so you need to be aware of the HTTP version you're using.

hhhash - Python Library

The hhhash package can be installed via a pip install hhhash or build with Poetry from this repository poetry build and poetry install.

Usage

In [1]: import hhhash

In [2]: hhhash.buildhash(url="https://www.misp-lea.org", debug=False)
Out[2]: 'hhh:1:adca8a87f2a537dbbf07ba6d8cba6db53fde257ae2da4dad6f3ee6b47080c53f'

In [3]: hhhash.buildhash(url="https://www.misp-project.org", debug=False)
Out[3]: 'hhh:1:adca8a87f2a537dbbf07ba6d8cba6db53fde257ae2da4dad6f3ee6b47080c53f'

In [4]: hhhash.buildhash(url="https://www.circl.lu", debug=False)
Out[4]: 'hhh:1:334d8ab68f9e935f3af7c4a91220612f980f2d9168324530c03d28c9429e1299'

In [5]:

Other libraries

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hhhash-0.4.tar.gz (4.6 kB view details)

Uploaded Source

Built Distribution

hhhash-0.4-py3-none-any.whl (4.8 kB view details)

Uploaded Python 3

File details

Details for the file hhhash-0.4.tar.gz.

File metadata

  • Download URL: hhhash-0.4.tar.gz
  • Upload date:
  • Size: 4.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.3.2 CPython/3.8.10 Linux/5.15.0-78-generic

File hashes

Hashes for hhhash-0.4.tar.gz
Algorithm Hash digest
SHA256 fd6312e7a078b2a85409eb18ad21b65a1c64167a869e15320c82787af1594374
MD5 3f1646a5a8cdf23ecf13ed3553d226ec
BLAKE2b-256 0af2ea79550b4b9d9e308f6e189c91793b756afa126f1af671ed9e89bd1e1ca1

See more details on using hashes here.

File details

Details for the file hhhash-0.4-py3-none-any.whl.

File metadata

  • Download URL: hhhash-0.4-py3-none-any.whl
  • Upload date:
  • Size: 4.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.3.2 CPython/3.8.10 Linux/5.15.0-78-generic

File hashes

Hashes for hhhash-0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 80d80c3d707fcfb8b8a87c6a2e823b74cd46a1f4397304c880cd6ff27e02286f
MD5 d5fe0020ea1de4c1cc3087cd2f45e83f
BLAKE2b-256 e0b76abf6ac2c66b23980388296eb5302ccc8f50592aab4b8ffe6b875709e35f

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page