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\00$\FEj\C4e\A9\DB\~\95\A7\A5\80EK\BB\8DDsP\00@@AD'k\CF\E8\DB\D2(\80\9AK\D3\85\D6lb\F2\BA\8C*\80\00)\95
59\A3R:\F3\CE"\B6\80\88\00\00i1u4ê\E9\F2á\A6\A2\FACM\93WMb*\E0*\00\00\00\00\00(\A8\80\00\00\80\00\00\00\00\00\00\00\00\00\FF\D9<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>C///</title>
</head>
"""
This program is free software: you can redistribute it and/or modify it under
the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License,
or (at your option) any later version.


This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.Â 
See the GNU General Public License for more details.


You should have received a copy of the GNU General Public License
 along with this program.Â  If not, see <https://www.gnu.org/licenses/>.

CopyrightÂ Â© 2019 Cloud Linux Software Inc.

This software is also available under ImunifyAV commercial license,
see <https://www.imunify360.com/legal/eula>
"""
import base64
import binascii
import csv
import os
from collections import namedtuple
from contextlib import suppress
from pathlib import Path
from time import time

from . import AIBOLIT

(
    SUSPICIOUS,
    VULNERS,
    EXTENDED_SUSPICIOUS,
    IGNORED_SUSPICIOUS,
) = (
    "suspicious",
    "vulners",
    "extended-suspicious",
    "ignored-suspicious",
)
SECTIONS = {
    "p": "php_malware",
    "j": "js_malware",
    "c": "cloudhash",
    "s": SUSPICIOUS,
    "v": VULNERS,
    "es": EXTENDED_SUSPICIOUS,
    "is": IGNORED_SUSPICIOUS,
}

SUSPICIOUS_SECTIONS = {
    SUSPICIOUS,
    VULNERS,
    EXTENDED_SUSPICIOUS,
    IGNORED_SUSPICIOUS,
}

AiBolitCSVReport = namedtuple(
    "AiBolitCSVReport",
    [
        "section",
        "path",
        "signature",
        "ctime",
        "mtime",
        "size",
        "etime",
        "signature_id",
        "hash",
        "signature_name",
        "sha256",
    ],
)


def parse_report_csv(report_path: Path):
    with report_path.open(newline="") as report_stream:
        for raw_row in csv.reader(report_stream, delimiter=","):
            row = AiBolitCSVReport(*raw_row)
            try:
                section = SECTIONS[row.section]
            except KeyError:
                continue
            sig = row.signature_name or "{}.{}".format(
                section, row.signature_id
            )
            timestamp = (
                int(float(row.etime)) if row.section != "v" else int(time())
            )
            file_name = row.path
            with suppress(binascii.Error):
                file_name = base64.b64decode(file_name, validate=True)
            file_name = os.fsdecode(file_name)
            yield {
                "n