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Added bad publishers round 1

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2025-08-21 17:59:47 -04:00
parent 225e5e406e
commit 55e1f3f91e
3 changed files with 9 additions and 360 deletions
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utils/hashfunctions.py
+7 -2
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@@ -87,10 +87,15 @@ def categorizeHashes(aug_df: pd.DataFrame, threat_tolerance: int, untrusted_publ
mask_needsreview = (df["publisher_y"] == "Not Signed") & df.apply(lambda row: reputationtool(row, threat_tolerance), axis=1)
mask_approved = (
((df["publisher_y"] != "Not Signed") & (~df["publisher_y"].isin(untrusted_publishers))) |
((df["publisher_y"] == "Not Signed") & (~df.apply(lambda row: reputationtool(row, threat_tolerance), axis=1)))
((df["publisher_y"] != "Not Signed") & (~df["publisher_y"].isin(untrusted_publishers))) &
(df["publisher_y"] != "Not Signed") # explicitly signed
) | (
(df["publisher_y"] == "Not Signed") &
(~df.apply(lambda row: reputationtool(row, threat_tolerance), axis=1)) &
(~df["publisher_y"].isin(untrusted_publishers)) # exclude untrusted even if unsigned
)
needsreview_df = df[mask_needsreview]
approved_df = df[mask_approved]
remaining_df = df[~(mask_needsreview | mask_approved)]