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Contining work on Menu logic

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2025-08-22 12:24:40 -04:00
parent 6f4d511c62
commit 314e548a45
1 changed files with 37 additions and 18 deletions
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AirlockTools.py
+37 -18
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@@ -92,8 +92,11 @@ def menu_feature2():
print("Invalid choice. Please try again.")
def menu_prepare_to_enforce():
first_policy = [""]
second_policy = [""]
first_policy = ["",""]
second_policy = ["",""]
policylist = first_policy[1]
history_pol1_staged = False
history_pol2_staged = False
history_staged = False
hashes_threat_pulled = False
hashes_categorized = False
@@ -104,9 +107,12 @@ def menu_prepare_to_enforce():
while True:
print("\n--- Prepare to Enforce Policy ---")
print("Sequentually follow steps to prepare for policy enforcement")
print("1. Choose first policy, Typically the audit version of the policy - Currently selected first policy is: " + str([first_policy[0]]))
print("2. Choose second policy, If an enforcement policy of that type exists, include it here - Currently selected second policy is: " + str(second_policy[0]))
print("3. Pull and stage event history for the selected policies - This step has been done - " + str(history_staged))
#print("1. Choose first policy, Typically the audit version of the policy - Currently selected first policy is: " + str([[first_policy[0]]))
#print("2. Choose second policy, If an enforcement policy of that type exists, include it here - Currently selected second policy is: " + str(second_policy[0]))
print("3. Pull and stage event history for the first policy - This step has been done - " + str(history_pol1_staged))
print("4. Pull and stage event history for the second policy - This step has been done - " + str(history_pol2_staged))
print("5. Combine aggregated policies -")
print("4. Pull Hash info - This step has been done - " + str(hashes_threat_pulled))
print("5. Determine if path exclusions are possible: - This step has been done - " + str(path_exclusions_calculated))
print("6. Categorize your hashes - This step has been done - " + str(hashes_categorized))
@@ -121,32 +127,45 @@ def menu_prepare_to_enforce():
second_policy = utils.allowlist.listPolicies(url)
elif choice == "3":
executionhist_policy1 = utils.allowlist.pullPolicyExechistories(url,first_policy[0], first_policy[1],True)
executionhist_policy2 = utils.allowlist.pullPolicyExechistories(url,second_policy[0], second_policy[1],True)
executionhist_policy1 = utils.allowlist.pullPolicyExechistories(url,first_policy, first_policy,True)
df_aggregated_policy1 = utils.hashfunctions.aggregateHashes(executionhist_policy1)
df_aggregated_policy2 = utils.hashfunctions.aggregateHashes(executionhist_policy2)
df_aggregated_combo= pd.concat([df_aggregated_policy1, df_aggregated_policy2], ignore_index=True)
df_aggregated_combo.to_html(f"df_aggregated_combo_{first_policy}_{second_policy}.html", index=False)
history_staged = True
df_aggregated_policy1.to_html(f"df_aggregated_{first_policy}.html")
history_pol1_staged =True
elif choice == "4":
executionhist_policy2 = utils.allowlist.pullPolicyExechistories(url,second_policy, second_policy,True)
df_aggregated_policy2 = utils.hashfunctions.aggregateHashes(executionhist_policy2)
df_aggregated_policy2.to_html(f"df_aggregated_{second_policy}.html")
history_pol2_staged =True
elif choice == "5":
if history_pol1_staged == True & history_pol2_staged == True:
df1 = pd.read_html(f"df_aggregated_{first_policy}.html")[0]
df2 = pd.read_html(f"df_aggregated_{second_policy}.html")[0]
df_aggregated_combo= pd.concat([df1 , df2], ignore_index=True)
df_aggregated_combo.to_html(f"df_aggregated_combo_{first_policy}_{second_policy}.html", index=False)
history_staged = True
else:
print("Both Policies have to be staged to combine them")
elif choice == "6":
if history_staged == True:
df_augmented = utils.hashfunctions.augmentAggregatedHashes(url, pd.read_html(f"df_aggregated_combo_{first_policy}_{second_policy}.html")[0])
df_augmented.to_html(f"df_augmented_combo_{first_policy}_{second_policy}.html", index=False)
hashes_threat_pulled = True
else:
print("Data not yet staged, please complete steps 1-3")
print("Data not yet staged, please complete earlier steps")
elif choice == "5":
elif choice == "7":
if hashes_threat_pulled == True:
path_eligible, path_ineligible = utils.pathfunctions.filepathInitialGroup(pd.read_html(f"df_augmented_combo_{first_policy}_{second_policy}.html")[0])
path_eligible.to_html(f"df_path_eligible_{first_policy}_{second_policy}.html", index=False)
path_ineligible.to_html(f"df_path_ineligible_{first_policy}_{second_policy}.html", index=False)
path_exclusions_calculated = True
else:
print("Step 4 not complete, Please complete step 4")
print("Step 6 not complete, Please complete step 6")
elif choice == "6":
elif choice == "8":
if path_exclusions_calculated == True:
categorized = utils.hashfunctions.categorizeHashes(pd.read_html(f"df_augmented_combo_{first_policy}_{second_policy}.html")[0], treat_tolerance_constant, badpublisherlist)
categorized[0].to_html(f"df_hashes_needing_approval_{first_policy}_{second_policy}.html", index=False)
@@ -154,15 +173,15 @@ def menu_prepare_to_enforce():
categorized[2].to_html(f"df_remaining_hashes__{first_policy}_{second_policy}.html", index=False)
hashes_categorized = True
else:
print("Step 5 not complete, Please complete step 5")
print("Step 7 not complete, Please complete step 7")
elif choice == "7":
elif choice == "9":
if hashes_categorized == True:
allowpaths = utils.allowfunctions.filter_and_drop(pd.read_html(f"df_automatically_approved_hashes_{first_policy}_{second_policy}.html")[0], pd.read_html(f"df_path_eligible_{first_policy}_{second_policy}.html")[0], path_exclusion_constant)
allowpaths.to_html(f"df_allowed_paths_{first_policy}_{second_policy}.html", index=False)
allowed_paths_determined = True
else:
print("Step 6 not complete, Please complete step 6")
print("Step 8 not complete, Please complete step 8")
elif choice == "11":
break
else: