ALL AT PATHS TOOL

This commit is contained in:
=
2025-09-18 15:19:19 -04:00
parent 3eae73150f
commit f4d27b4e64
3 changed files with 242 additions and 26 deletions
+128
View File
@@ -14,6 +14,7 @@
# along with this program. If not, see <https://www.gnu.org/licenses/>.
#Local Imports
import utils.hashfunctions as hashf
import utils.pathfunctions as pathf
import utils.pretty as ct
from AirlockTools import tryToReadCSV
@@ -193,3 +194,130 @@ def generatePathReview(first_policy, second_policy, badpathparts, path_exclusion
del unique_sha_counts
del lcp_not_forbidden_review
def allATpaths(url, pups, untrusted_publishers, badpathparts, threat_tolerance, path_exclusion_constant, min_files_for_path):
import pandas as pd
# Load raw data
hashes = pd.read_csv("allATPolicyExecs.csv")
# Deduplicate hashes before augmentation
deduped_hashes = hashes.drop_duplicates(subset=['sha256']).copy()
# Save policy name mapping (before deduplication)
policyname_map = hashes[['hostname', 'PolicyName']].drop_duplicates()
# Handle None inputs
untrusted_publishers = untrusted_publishers or []
pups = pups or []
# Augment deduplicated hashes
augmented = hashf.augmentAggregatedHashes(url, deduped_hashes)
# Merge policy names
augmented = augmented.merge(policyname_map, on='hostname', how='left')
# Clean numeric reputation fields
for col in ['reputation_scannermatch', 'reputation_scannercount', 'reputation_threatlevel']:
if col in augmented.columns:
augmented[col] = pd.to_numeric(augmented[col].replace('N/A', pd.NA), errors='coerce')
# Rename and select relevant columns
augmented = augmented.rename(columns={'publisher_x': 'publisher'})
augmented = augmented[[
'PolicyName', 'sha256', 'publisher', 'description', 'productname', 'productversion',
'reputation_lastseen', 'reputation_scannermatch', 'reputation_scannercount',
'reputation_status', 'reputation_threatlevel', 'reputation_threatname',
'reputation_timestamp'
]].sort_values(by=['publisher', 'description', 'productname'])
# Merge with deduplicated hashes to enrich data
final_augmented = augmented.merge(deduped_hashes, on='sha256', how='left')
# Clean up column names before applying reputation logic
if 'publisher_y' in final_augmented.columns:
final_augmented = final_augmented.drop(columns=['publisher_y'])
if 'publisher_x' in final_augmented.columns:
final_augmented = final_augmented.rename(columns={'publisher_x': 'publisher'})
if 'PolicyName_x' in final_augmented.columns:
final_augmented = final_augmented.rename(columns={'PolicyName_x': 'PolicyName'})
final_augmented.to_csv("testing.csv", index=False)
# Reputation flag logic
def reputationtool(row):
val = row["reputation_scannermatch"]
if pd.isna(val):
return row["publisher"] == "Not Signed"
try:
return int(val) > threat_tolerance
except (ValueError, TypeError):
return row["publisher"] == "Not Signed"
df = final_augmented.copy()
df["reputation_flag"] = df.apply(reputationtool, axis=1)
# Filtering logic
mask_needsreview = (
((df["publisher"] == "Not Signed") & df["reputation_flag"]) |
(df["reputation_status"] == "UNKNOWN")
)
mask_approved = (
(
(df["publisher"] != "Not Signed") &
~df["publisher"].str.contains(pathf.regulator(untrusted_publishers), case=False, na=False) &
~df["reputation_status"].isna() &
~df["description"].str.contains(pathf.regulator(pups), case=False, na=False)
) |
(
(df["publisher"] == "Not Signed") &
~df["reputation_flag"] &
~df["publisher"].str.contains(pathf.regulator(untrusted_publishers), case=False, na=False) &
~df["reputation_status"].isna() &
~df["description"].str.contains(pathf.regulator(pups), case=False, na=False)
)
)
needsreview_df = df[mask_needsreview]
approved_df = df[mask_approved]
all_approved_hashes = pd.concat([needsreview_df, approved_df], ignore_index=True)
print(ct.colorText("Beginning calculating longest common filepaths for path exceptions", "green"))
# Path analysis
haslcp = pathf.split_filepaths_grouped(all_approved_hashes, "filename", path_exclusion_constant, min_files_for_path)
haslcp = haslcp.drop_duplicates()
# Remove forbidden paths
forbidden = pathf.regulator(badpathparts, True)
lcp_not_forbidden = haslcp[~haslcp["longestcfp"].str.contains(forbidden, na=False)].copy()
print(ct.colorText("Removing forbidden filepaths for path exceptions", "green"))
# Reviewable paths
review_df = lcp_not_forbidden[['longestcfp', 'middle', 'filename_only', 'file_extension', 'sha256']]
sha_counts = review_df.groupby('longestcfp')['sha256'].nunique().reset_index()
sha_counts.columns = ['longestcfp', 'unique_sha256_count']
review_df = review_df.merge(sha_counts, on='longestcfp', how='left')
review_df = review_df[review_df['unique_sha256_count'] >= min_files_for_path]
review_df.to_csv("ALL_AT_PATHS.csv", index=False)
# Cleanup
del lcp_not_forbidden, sha_counts, review_df
def mergeTesting():
# Load the two CSVs
testing_df = pd.read_csv("testing.csv")
paths_df = pd.read_csv("ALL_AT_PATHS.csv")
# Merge on 'sha256' with testing as the left DataFrame
merged_df = testing_df.merge(paths_df, on="sha256", how="left")
# Save the merged result
merged_df.to_csv("merged_output.csv", index=False)
print(f"Merged DataFrame saved with {len(merged_df)} rows.")
+39 -8
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@@ -93,16 +93,16 @@ def addPubReal(url, grouplistID, publist):
print(response.text)
def getPolicyInfo(url, policy, days):
def getPolicyInfo(url, policy, type, days, parquet=True):
executionhist_policy = pd.DataFrame()
exehist = pullPolicyExechistories(url, policy, days, True)
exehist = pullPolicyExechistories(url, policy, type, days, True)
data = json.loads(exehist)
executionhist_policy = pd.DataFrame(data["response"]["exechistories"])
if not executionhist_policy.empty:
executionhist_policyxecutionhist_policy = executionhist_policy[['sha256', 'publisher', 'filename', 'hostname', 'username', 'pprocess', 'gprocess', 'commandline']]
executionhist_policy = executionhist_policy[['sha256', 'publisher', 'filename', 'hostname', 'username', 'pprocess', 'gprocess', 'commandline']]
executionhist_policy = executionhist_policy.drop_duplicates(subset=['sha256', 'filename', 'hostname'])
executionhist_policy = executionhist_policy.sort_values(by=['sha256', 'filename'])
executionhist_policy.to_parquet(f"parquet\\execution_history_{policy}.parquet", index=False)
if parquet: executionhist_policy.to_parquet(f"parquet\\execution_history_{policy}.parquet", index=False)
print(ct.colorText(f"Staging of Execution history for policy: {policy} is complete", "green"))
del data
del exehist
@@ -157,7 +157,7 @@ def sendToPolicy(url, first_policy, second_policy, destination_name, destination
else:
print(ct.colorText("Operation aborted. You MUST EXPLICITLY AGREE to proceed.", "red"))
def pullPolicyExechistories(url, policiesnames, days, outputjson: bool):
def pullPolicyExechistories(url, policiesnames, type, days, outputjson: bool):
file_path = 'chunkinator.json'
if not os.path.exists(file_path):
with open(file_path, 'w') as file:
@@ -171,7 +171,7 @@ def pullPolicyExechistories(url, policiesnames, days, outputjson: bool):
with tqdm.tqdm(file=sys.stdout, leave=True, total=10000, desc=f"Checkpoint Progess: {checkpoint}", colour="blue", initial=1) as filebar:
with tqdm.tqdm(file=sys.stdout, leave=True, total=100, desc=f"Total of {policiesnames} Complete: ") as pbar:
while True:
json_response_data = checkpoint_stomper(checkpoint, url, policiesnames, headers)
json_response_data = checkpoint_stomper(checkpoint, url, type, policiesnames, headers)
histories = json_response_data['response']['exechistories']
filebar.total=len(histories)
if not histories:
@@ -214,11 +214,11 @@ def pullPolicyExechistories(url, policiesnames, days, outputjson: bool):
os.remove(file_path)
return json.dumps(final_output) if outputjson else None
def checkpoint_stomper(checkpoint, url, policy, headers):
def checkpoint_stomper(checkpoint, url, type, policy, headers):
json_output = {'error': 'Success', 'response': {'exechistories': []}}
endpoint = url + '/v1/logging/exechistories'
payload_dict = {
"type":[1,2,6,7],
"type":[type],
"checkpoint": checkpoint,
"policy": [policy]
}
@@ -251,6 +251,37 @@ def listPolicies(url):
choice = int(choice) - 1
return choice, policiesnames, policyids
def listATPolicies(url):
endpoint = url + '/v1/group'
print(ct.colorText("[+] Grabbing All Policies", "cyan"))
headers = {
"X-APIKey": os.getenv('APIKEY')
}
try:
response = requests.post(endpoint, headers=headers, json={}, verify=False)
response.raise_for_status()
parse_text = response.json()
at_policies = {}
for index, group in enumerate(parse_text.get('response', {}).get('groups', []), start=1):
name = group.get('name', '')
if "AT" in name:
print(ct.colorText(f"{index}. {name}", "yellow"))
at_policies[name] = group.get('groupid')
return at_policies
except requests.exceptions.RequestException as e:
print(ct.colorText(f"[!] Request failed: {e}", "red"))
return {}
except (KeyError, json.JSONDecodeError) as e:
print(ct.colorText(f"[!] Failed to parse response: {e}", "red"))
return {}
def listAllowlists(url):
endpoint = url + '/v1/application'
print(ct.colorText("[+] Grabbing All Allowlists", "cyan"))