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This topic describes a feature called Datadog Attacker Fingerprint to identify attackers beyond IP addresses.
Datadog Attacker Fingerprint identifies attackers beyond IP addresses. Datadog Attacker fingerprints are automatically computed and added to your traces on attack or login attempts when Application Security Management (ASM) is enabled on your service.
Datadog Attacker fingerprints are composed of several fragments:
Each fragment identifies request specifics by looking for certain headers and query body fields, and by hashing cookie values and query parameters.
The endpoint identifier fragment provides information about a specific endpoint, as well as the parameters used to call it. This fragments uses the following information:
The session identifier fragment tracks users based on their session information and whether they are authenticated. This fragment uses the following information:
If all of the fields are unavailable, the fragment is omitted as it does not provide meaningful information.
The header identifier fragment provides information about the headers used in the request. This particular fragment uses the following information:
The network identifier fragment provides information about the network part of the request. This fragment uses the following information:
Fragments can be used as filters in the ASM Traces explorer by filtering on the desired fingerprint field. For example: @appsec.fingerprint.header.ua_hash:e462fa45
will filter on all requests that have the same user agent hash.
Attacker fingerprints are used in the Attacker Clustering feature. If a significant portion of your traffic presents the same fingerprint attributes, attacker clustering will show it has a common attack attribute.
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