Removed IPv4 and IPv6 patterns

credsweeper/filters/__init__.py

@@ -25,7 +25,6 @@
 from credsweeper.filters.value_grafana_check import ValueGrafanaCheck
 from credsweeper.filters.value_grafana_service_check import ValueGrafanaServiceCheck
 from credsweeper.filters.value_hex_number_check import ValueHexNumberCheck
-from credsweeper.filters.value_ip_check import ValueIPCheck
 from credsweeper.filters.value_jfrog_token_check import ValueJfrogTokenCheck
 from credsweeper.filters.value_json_web_token_check import ValueJsonWebTokenCheck
 from credsweeper.filters.value_last_word_check import ValueLastWordCheck

credsweeper/rules/config.yaml

@@ -126,34 +126,6 @@
   target:
     - code
 
-- name: IPv4
-  severity: info
-  confidence: weak
-  type: pattern
-  values:
-    - (?<![.0-9a-zA-Z])(?P<value>[0-2]?[0-9]{1,2}\.[0-2]?[0-9]{1,2}\.[0-2]?[0-9]{1,2}\.[0-2]?[0-9]{1,2})(?![.0-9a-zA-Z])
-  filter_type:
-    - ValueIPCheck
-  min_line_len: 10
-  required_substrings:
-    - "."
-  target:
-    - code
-
-- name: IPv6
-  severity: info
-  confidence: strong
-  type: pattern
-  values:
-    - (?<![:0-9A-Za-z])(?P<value>[0-9A-Fa-f]{0,4}:(:?[0-9A-Fa-f]{1,4}:?){0,6}:[0-9A-Fa-f]{1,4})(?![:0-9A-Za-z])
-  filter_type:
-    - ValueIPCheck
-  min_line_len: 10
-  required_substrings:
-    - ":"
-  target:
-    - code
-
 - name: AWS Client ID
   severity: high
   confidence: moderate

docs/source/credsweeper.filters.rst

@@ -188,14 +188,6 @@ credsweeper.filters.value\_grafana\_check module
    :undoc-members:
    :show-inheritance:
 
-credsweeper.filters.value\_ip\_check module
--------------------------------------------
-
-.. automodule:: credsweeper.filters.value_ip_check
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
 credsweeper.filters.value\_jfrog\_token\_check module
 -----------------------------------------------------
 

tests/__init__.py

@@ -1,24 +1,24 @@
 from pathlib import Path
 
 # total number of files in test samples
-SAMPLES_FILES_COUNT: int = 131
+SAMPLES_FILES_COUNT: int = 129
 
 # the lowest value of ML threshold is used to display possible lowest values
 NEGLIGIBLE_ML_THRESHOLD = 0.0001
 
 # credentials count after scan
-SAMPLES_CRED_COUNT: int = 430
-SAMPLES_CRED_LINE_COUNT: int = 447
+SAMPLES_CRED_COUNT: int = 362
+SAMPLES_CRED_LINE_COUNT: int = 379
 
 # credentials count after post-processing
-SAMPLES_POST_CRED_COUNT: int = 388
+SAMPLES_POST_CRED_COUNT: int = 320
 
 # with option --doc
 SAMPLES_IN_DOC = 411
 
 # archived credentials that are not found without --depth
-SAMPLES_IN_DEEP_1 = SAMPLES_POST_CRED_COUNT + 25
-SAMPLES_IN_DEEP_2 = SAMPLES_IN_DEEP_1 + 18
+SAMPLES_IN_DEEP_1 = SAMPLES_POST_CRED_COUNT + 24
+SAMPLES_IN_DEEP_2 = SAMPLES_IN_DEEP_1 + 17
 SAMPLES_IN_DEEP_3 = SAMPLES_IN_DEEP_2 + 1
 
 # well known string with all latin letters