Filtering annotations is a collection of descriptive names to text patterns that are meant to be matched against network measurements in platforms such as OONI, CensoredPlanet, or ICLab. These are intended to describe facets of observed filtering infrastructure such as network middle boxes, deep packet devices, and ISP blockpages among others. This collection is distributed as a Python library: analysislib that includes dns/blockpage signatures as well as some code to create dictionaries to match against.

There are two types of signatures:

• HTTP(s) signatures
  • contained in: known_blockpages.py
  • screenshots in blockpage_meta
  • meant to be matched against either HTTP header/body responses
• DNS signatures
  • signatures contained in: known_dns_sigs.py
  • screenshots in dns_meta
  • meant to be be matched against DNS replies.

Where possible samples of both screenshots and HTML are contained in the meta directories.

The data is stored in the data directory and currently in version 1. It is available in both JSON and CSV format. If you are hoping to contribute annotations it is best to edit the .py files in a pull request or add an issue with an associated example.

• name
  • Name of the fingerprint to tag identified entries with (should be unique)
• common_name
  • A friendly name of the detection. Unlike "name" field this can be shared.
• pattern
  • The actual text pattern to match against.
• location_found
  • Where the pattern is located either "body", or "header" currently.
• exp_url
  • An example OONI explorer URL containing the behaviour.
• confidence_no_fp
  • How likely (by self-assessment) the signature is to cause a false positive. Shorter or more vague text patterns which may be likely to match against are given lower numbers.
• scope
  • What is the network scope of the device/behaviour
  • Current allowed values:
    • "nat" National level filtering
    • "isp" ISP level filtering
    • "prod" text pattern related to a middlebox product such as a default blockpage.
    • "inst" text pattern related to a voluntary institution blockpage (school, office)
    • "vbw" a vague blocking word such as "web site blocked"
• source
  • URLs or citations related to the behaviour seen in the annotation.
• expected_countries
  • The two letter country code for where we would expect to find the annotations.
• notes
  • Extra field for any additional information

• name
  • Name of the fingerprint to tag identified entries with (should be unique)
• response
  • DNS reply to match against.
• confidence_no_fp
  • How likely (by self-assessment) the signature is to cause a false positive. Shorter or more vague text patterns which may be likely to match against are given lower numbers.
• exp_url
  • An example OONI explorer URL containing the behaviour.
• source
  • URLs or citations related to the behaviour seen in the annotation.
• scope
  • What is the network scope of the device/behaviour
  • Current allowed values:
    • "nat" National level filtering
    • "isp" ISP level filtering
    • "prod" text pattern related to a middlebox product such as a default blockpage.
    • "inst" text pattern related to a voluntary institution blockpage (school, office)
    • "vbw" a vague blocking word such as "web site blocked"
• notes
  • Extra field for any additional information

Code under MIT 3-Clause