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ScanPdf

Extracts metadata, embedded files, images, and text from PDF files.

This scanner utilizes PyMuPDF to parse PDF files, extracting various types of data, including metadata, embedded files, images, and textual content. Phone numbers and URLs within the document are also extracted and reported.

Source code in strelka/src/python/strelka/scanners/scan_pdf.py 
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class ScanPdf(strelka.Scanner):
    """
    Extracts metadata, embedded files, images, and text from PDF files.

    This scanner utilizes PyMuPDF to parse PDF files, extracting various types of data,
    including metadata, embedded files, images, and textual content. Phone numbers and
    URLs within the document are also extracted and reported.
    """

    @staticmethod
    def _convert_timestamp(timestamp):
        """
        Converts a PDF timestamp string to an ISO 8601 formatted string.

        PDF timestamps are typically in the 'D:%Y%m%d%H%M%S%z' format. This function
        converts them to a more standard ISO 8601 format.

        Args:
            timestamp: A string representing the timestamp in PDF format.

        Returns:
            An ISO 8601 formatted timestamp string, or None if conversion fails.
        """
        try:
            return (
                datetime.strptime(timestamp.replace("'", ""), "D:%Y%m%d%H%M%S%z")
                .astimezone(timezone.utc)
                .strftime("%Y-%m-%dT%H:%M:%SZ")
            )
        except Exception:
            return None

    def scan(self, data, file, options, expire_at):
        """
        Performs the scanning process on the provided data.

        The function opens the PDF using PyMuPDF and extracts metadata, embedded files,
        images, and text. Phone numbers and URLs are also extracted using regular expressions.

        Args:
            data: Data of the file to be scanned.
            file: The File object associated with the data.
            options: Dictionary of scanner-specific options.
            expire_at: Expiration time of the scan.
        """
        # Set maximum XREF objects to be collected (default: 250)
        max_objects = options.get("max_objects", 250)

        try:
            with io.BytesIO(data) as pdf_io:
                reader = fitz.open(stream=pdf_io, filetype="pdf")

            # Collect Metadata
            self.event["dirty"] = reader.is_dirty
            self.event["encrypted"] = reader.is_encrypted
            self.event["language"] = reader.language
            self.event["needs_pass"] = reader.needs_pass
            self.event["old_xrefs"] = reader.has_old_style_xrefs
            self.event["pages"] = reader.page_count
            self.event["repaired"] = reader.is_repaired
            self.event["xrefs"] = reader.xref_length() - 1

            if reader.is_encrypted:
                return

            # Set Default Variables
            self.event["images"] = 0
            self.event["lines"] = 0
            self.event["links"] = []
            self.event["words"] = 0
            self.event.setdefault("xref_object", list())
            keys = list()

            self.event["author"] = reader.metadata["author"]
            self.event["creator"] = reader.metadata["creator"]
            self.event["creation_date"] = self._convert_timestamp(
                reader.metadata["creationDate"]
            )
            self.event["embedded_files"] = {
                "count": reader.embfile_count(),
                "names": reader.embfile_names(),
            }
            self.event["format"] = reader.metadata["format"]
            self.event["keywords"] = reader.metadata["keywords"]
            self.event["modify_date"] = self._convert_timestamp(
                reader.metadata["modDate"]
            )
            self.event["producer"] = reader.metadata["producer"]
            self.event["subject"] = reader.metadata["subject"]
            self.event["title"] = reader.metadata["title"]

            # Collect Phones Numbers
            phones = []
            for i in range(self.event["pages"]):
                phones.extend(
                    [
                        re.sub("[^0-9]", "", x)
                        for x in re.findall(
                            PHONE_NUMBERS_REGEX,
                            reader.get_page_text(i).replace("\t", " "),
                        )
                    ]
                )
            self.event["phones"] = list(set(phones))

            # iterate through xref objects. Collect, count, and extract objects
            self.event["xref_object"] = list()
            for xref in range(1, reader.xref_length()):
                xref_object = reader.xref_object(xref, compressed=True)
                if xref_object not in self.event["xref_object"]:
                    self.event["xref_object"].append(xref_object)
                for obj in options.get("objects", []):
                    pattern = f"/{obj}"
                    if pattern in xref_object:
                        keys.append(obj.lower())
                # Extract urls from xref
                self.event["links"].extend(
                    re.findall(r"https?://[^\s)>]+", xref_object)
                )
            self.event["objects"] = dict(Counter(keys))

            # Convert unique xref_object set back to list
            self.event["xref_object"] = list(
                set(self.event["xref_object"][:max_objects])
            )

            # Submit embedded files to strelka
            try:
                for i in range(reader.embfile_count()):
                    props = reader.embfile_info(i)

                    # Send extracted file back to Strelka
                    self.emit_file(reader.embfile_get(i), name=props["filename"])

            except strelka.ScannerTimeout:
                raise
            except Exception as e:
                self.flags.append(f"pdf_embedded_processing_error: {str(e)[:50]}")

            # Submit extracted images to strelka
            try:
                for i in range(len(reader)):
                    for img in reader.get_page_images(i):
                        self.event["images"] += 1
                        pix = fitz.Pixmap(reader, img[0])

                        # Send extracted file back to Strelka
                        self.emit_file(pix.tobytes(), name="image")

            except strelka.ScannerTimeout:
                raise
            except Exception as e:
                self.flags.append(f"pdf_image_processing_error: {str(e)[:50]}")

            # Parse data from each page
            try:
                text = ""
                for page in reader:
                    self.event["lines"] += len(page.get_text().split("\n"))
                    self.event["words"] += len(
                        list(filter(None, page.get_text().split(" ")))
                    )
                    # Extract links
                    for link in page.get_links():
                        self.event["links"].append(link.get("uri"))

                    text += page.get_text()

                    # Extract urls from text
                    self.event["links"].extend(re.findall(r"https?://[^\s)>]+", text))

                # If links found, remove all duplicates and submit as IOCs.
                # Deduplicate the links
                if self.event["links"]:
                    self.event["links"] = list(set(filter(None, self.event["links"])))

                    # Submit all links to the IOCs pipeline.
                    self.add_iocs(self.event["links"])

                # Send extracted file back to Strelka
                self.emit_file(text.encode("utf-8"), name="text")

            except strelka.ScannerTimeout:
                raise
            except Exception as e:
                self.flags.append(f"pdf_page_processing_error: {str(e)[:50]}")
        except strelka.ScannerTimeout:
            raise
        except Exception as e:
            self.flags.append(f"pdf_load_error: {str(e)[:50]}")

scan(data, file, options, expire_at)

Performs the scanning process on the provided data.

The function opens the PDF using PyMuPDF and extracts metadata, embedded files, images, and text. Phone numbers and URLs are also extracted using regular expressions.

Parameters:

Name Type Description Default
data

Data of the file to be scanned.

 required
file

The File object associated with the data.

 required
options

Dictionary of scanner-specific options.

 required
expire_at

Expiration time of the scan.

 required
Source code in strelka/src/python/strelka/scanners/scan_pdf.py 
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def scan(self, data, file, options, expire_at):
    """
    Performs the scanning process on the provided data.

    The function opens the PDF using PyMuPDF and extracts metadata, embedded files,
    images, and text. Phone numbers and URLs are also extracted using regular expressions.

    Args:
        data: Data of the file to be scanned.
        file: The File object associated with the data.
        options: Dictionary of scanner-specific options.
        expire_at: Expiration time of the scan.
    """
    # Set maximum XREF objects to be collected (default: 250)
    max_objects = options.get("max_objects", 250)

    try:
        with io.BytesIO(data) as pdf_io:
            reader = fitz.open(stream=pdf_io, filetype="pdf")

        # Collect Metadata
        self.event["dirty"] = reader.is_dirty
        self.event["encrypted"] = reader.is_encrypted
        self.event["language"] = reader.language
        self.event["needs_pass"] = reader.needs_pass
        self.event["old_xrefs"] = reader.has_old_style_xrefs
        self.event["pages"] = reader.page_count
        self.event["repaired"] = reader.is_repaired
        self.event["xrefs"] = reader.xref_length() - 1

        if reader.is_encrypted:
            return

        # Set Default Variables
        self.event["images"] = 0
        self.event["lines"] = 0
        self.event["links"] = []
        self.event["words"] = 0
        self.event.setdefault("xref_object", list())
        keys = list()

        self.event["author"] = reader.metadata["author"]
        self.event["creator"] = reader.metadata["creator"]
        self.event["creation_date"] = self._convert_timestamp(
            reader.metadata["creationDate"]
        )
        self.event["embedded_files"] = {
            "count": reader.embfile_count(),
            "names": reader.embfile_names(),
        }
        self.event["format"] = reader.metadata["format"]
        self.event["keywords"] = reader.metadata["keywords"]
        self.event["modify_date"] = self._convert_timestamp(
            reader.metadata["modDate"]
        )
        self.event["producer"] = reader.metadata["producer"]
        self.event["subject"] = reader.metadata["subject"]
        self.event["title"] = reader.metadata["title"]

        # Collect Phones Numbers
        phones = []
        for i in range(self.event["pages"]):
            phones.extend(
                [
                    re.sub("[^0-9]", "", x)
                    for x in re.findall(
                        PHONE_NUMBERS_REGEX,
                        reader.get_page_text(i).replace("\t", " "),
                    )
                ]
            )
        self.event["phones"] = list(set(phones))

        # iterate through xref objects. Collect, count, and extract objects
        self.event["xref_object"] = list()
        for xref in range(1, reader.xref_length()):
            xref_object = reader.xref_object(xref, compressed=True)
            if xref_object not in self.event["xref_object"]:
                self.event["xref_object"].append(xref_object)
            for obj in options.get("objects", []):
                pattern = f"/{obj}"
                if pattern in xref_object:
                    keys.append(obj.lower())
            # Extract urls from xref
            self.event["links"].extend(
                re.findall(r"https?://[^\s)>]+", xref_object)
            )
        self.event["objects"] = dict(Counter(keys))

        # Convert unique xref_object set back to list
        self.event["xref_object"] = list(
            set(self.event["xref_object"][:max_objects])
        )

        # Submit embedded files to strelka
        try:
            for i in range(reader.embfile_count()):
                props = reader.embfile_info(i)

                # Send extracted file back to Strelka
                self.emit_file(reader.embfile_get(i), name=props["filename"])

        except strelka.ScannerTimeout:
            raise
        except Exception as e:
            self.flags.append(f"pdf_embedded_processing_error: {str(e)[:50]}")

        # Submit extracted images to strelka
        try:
            for i in range(len(reader)):
                for img in reader.get_page_images(i):
                    self.event["images"] += 1
                    pix = fitz.Pixmap(reader, img[0])

                    # Send extracted file back to Strelka
                    self.emit_file(pix.tobytes(), name="image")

        except strelka.ScannerTimeout:
            raise
        except Exception as e:
            self.flags.append(f"pdf_image_processing_error: {str(e)[:50]}")

        # Parse data from each page
        try:
            text = ""
            for page in reader:
                self.event["lines"] += len(page.get_text().split("\n"))
                self.event["words"] += len(
                    list(filter(None, page.get_text().split(" ")))
                )
                # Extract links
                for link in page.get_links():
                    self.event["links"].append(link.get("uri"))

                text += page.get_text()

                # Extract urls from text
                self.event["links"].extend(re.findall(r"https?://[^\s)>]+", text))

            # If links found, remove all duplicates and submit as IOCs.
            # Deduplicate the links
            if self.event["links"]:
                self.event["links"] = list(set(filter(None, self.event["links"])))

                # Submit all links to the IOCs pipeline.
                self.add_iocs(self.event["links"])

            # Send extracted file back to Strelka
            self.emit_file(text.encode("utf-8"), name="text")

        except strelka.ScannerTimeout:
            raise
        except Exception as e:
            self.flags.append(f"pdf_page_processing_error: {str(e)[:50]}")
    except strelka.ScannerTimeout:
        raise
    except Exception as e:
        self.flags.append(f"pdf_load_error: {str(e)[:50]}")

Features

The features of this scanner are detailed below. These features represent the capabilities and the type of analysis the scanner can perform. This may include support for Indicators of Compromise (IOC), the ability to emit files for further analysis, and the presence of extended documentation for complex analysis techniques.

Feature
Support
IOC Support
Emit Files
Extended Docs
Malware Scanner
Image Thumbnails

Tastes

Strelka's file distribution system assigns scanners to files based on 'flavors' and 'tastes'. Flavors describe the type of file, typically determined by MIME types from libmagic, matches from YARA rules, or characteristics of parent files. Tastes are the criteria used within Strelka to determine which scanners are applied to which files, with positive and negative tastes defining files to be included or excluded respectively.

Source Filetype
Include / Exclude
application/pdf
pdf_file

Scanner Fields

This section provides a list of fields that are extracted from the files processed by this scanner. These fields include the data elements that the scanner extracts from each file, representing the analytical results produced by the scanner. If the test file is missing or cannot be parsed, this section will not contain any data.

Field Name
Field Type
author
str
creation_date
str
creator
str
dirty
bool
elapsed
str
embedded_files
dict
embedded_files.count
int
embedded_files.names
list
encrypted
bool
flags
list
format
str
images
int
iocs
str
keywords
str
language
str
lines
int
links
str
modify_date
str
needs_pass
bool
objects
dict
old_xrefs
bool
pages
int
phones
list
producer
str
repaired
bool
subject
str
title
str
words
int
xref_object
str
xrefs
int

Sample Event

Below is a sample event generated by this scanner, demonstrating the kind of output that can be expected when it processes a file. This sample is derived from a mock scan event configured in the scanner's test file. If no test file is available, this section will not display a sample event.

    test_scan_event = {
        "elapsed": 0.001,
        "flags": [],
        "images": 1,
        "lines": 32,
        "links": unordered(
            ["http://bing.com", "https://duckduckgo.com", "https://google.com"]
        ),
        "iocs": unordered(
            [
                {"ioc": "bing.com", "ioc_type": "domain", "scanner": "ScanPdf"},
                {"ioc": "http://bing.com", "ioc_type": "url", "scanner": "ScanPdf"},
                {"ioc": "duckduckgo.com", "ioc_type": "domain", "scanner": "ScanPdf"},
                {
                    "ioc": "https://duckduckgo.com",
                    "ioc_type": "url",
                    "scanner": "ScanPdf",
                },
                {"ioc": "google.com", "ioc_type": "domain", "scanner": "ScanPdf"},
                {"ioc": "https://google.com", "ioc_type": "url", "scanner": "ScanPdf"},
            ]
        ),
        "words": 421,
        "xref_object": unordered(
            [
                "<</Filter/FlateDecode/Length 23>>",
                "<</ActualText( )/K[2]/P 19 0 R/Pg 3 0 R/S/Span/Type/StructElem>>",
                "<</Filter/FlateDecode/Length 294>>",
                "<</K 0/P 19 0 R/Pg 3 0 R/S/Span/Type/StructElem>>",
                "<</BaseFont/ArialMT/Encoding/WinAnsiEncoding/FirstChar 32/FontDescriptor 13 0 R/LastChar 120/Subtype/TrueType/Type/Font/Widths 39 0 R>>",
                "<</Annotation/Sect/Artifact/Sect/Chart/Sect/Chartsheet/Part/Diagram/Figure/Dialogsheet/Part/Endnote/Note/Footer/Sect/Footnote/Note/Header/Sect/InlineShape/Sect/Macrosheet/Part/Slide/Part/Textbox/Sect/Workbook/Document/Worksheet/Part>>",
                "<</A 74 0 R/BS<</S/S/Type/Border/W 0>>/Border[0 0 0]/Rect[74.8708 81.507 171.716 95.5623]/Subtype/Link/Type/Annot>>",
                "<</Filter/FlateDecode/Length 21>>",
                "[250 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 333 0 0 611 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 444 0 0 0 0 0 0 0 778 0 500 500 0 333 389 0 500]",
                "<</Filter/FlateDecode/Length 17535/Length1 44442>>",
                "<</Filter/FlateDecode/Length 5162>>",
                "<</Annots 45 0 R/Contents 54 0 R/Group<</CS/DeviceRGB/S/Transparency/Type/Group>>/MediaBox[0 0 612 792]/Parent 2 0 R/Resources<</ExtGState<</GS0 5 0 R/GS1 69 0 R/GS2 70 0 R/GS3 71 0 R>>/Font<</C2_0 43 0 R/C2_1 44 0 R/TT0 6 0 R/TT1 12 0 R>>/ProcSet[/PDF/Text/ImageC]/XObject<</Im0 9 0 R>>>>/StructParents 0/Tabs/S/Type/Page>>",
                "<</Filter/FlateDecode/First 39/Length 286/N 6/Type/ObjStm>>",
                "<</K[45 46 47 48 49 50 51 52 53 54]/P 18 0 R/Pg 3 0 R/S/P/Type/StructElem>>",
                "<</BitsPerComponent 8/ColorSpace/DeviceRGB/Filter/DCTDecode/Height 245/Interpolate true/Length 21001/Subtype/Image/Type/XObject/Width 340>>",
                "<</Ascent 905/AvgWidth 441/CapHeight 728/Descent -210/Flags 32/FontBBox[-665 -210 2000 728]/FontName/ArialMT/FontWeight 400/ItalicAngle 0/Leading 33/MaxWidth 2665/StemV 44/Type/FontDescriptor/XHeight 250>>",
                "<</BM/Normal/ca 1>>",
                "<</A 72 0 R/BS<</S/S/Type/Border/W 0>>/Border[0 0 0]/Rect[382.256 32.834 472.048 46.8893]/Subtype/Link/Type/Annot>>",
                "<</Alt()/K[3]/P 25 0 R/Pg 3 0 R/S/InlineShape/Type/StructElem>>",
                "<</BaseFont/ZWXJMJ+ArialMT/DescendantFonts 62 0 R/Encoding/Identity-H/Subtype/Type0/ToUnicode 63 0 R/Type/Font>>",
                "<</Ascent 1006/CIDSet 67 0 R/CapHeight 716/Descent -325/Flags 4/FontBBox[-665 -325 2000 1006]/FontFamily(Arial)/FontFile2 68 0 R/FontName/ZWXJMJ+ArialMT/FontStretch/Normal/FontWeight 400/ItalicAngle 0/StemV 88/Type/FontDescriptor/XHeight 519>>",
                "null",
                "<</BM/Normal/CA 1/Type/ExtGState/ca 1>>",
                "<</AcroForm 52 0 R/Lang(en-US)/MarkInfo<</Marked true>>/Metadata 53 0 R/Pages 2 0 R/StructTreeRoot 15 0 R/Type/Catalog>>",
                "<</K[26 0 R 27 0 R]/P 18 0 R/Pg 3 0 R/S/P/Type/StructElem>>",
                "<</K[27 28 29 30 31 32 33]/P 18 0 R/Pg 3 0 R/S/P/Type/StructElem>>",
                "<</K[20 0 R 23 0 R 24 0 R]/P 18 0 R/Pg 3 0 R/S/H1/Type/StructElem>>",
                "[46 0 R 47 0 R 48 0 R 49 0 R]",
                "<</S/URI/URI(https://duckduckgo.com)>>",
                "<</K[19 0 R 25 0 R 28 0 R 29 0 R 30 0 R 31 0 R 32 0 R 33 0 R 34 0 R 35 0 R]/P 15 0 R/S/Part/Type/StructElem>>",
                "<</BM/Normal/Type/ExtGState/ca 1>>",
                "<</BaseFont/ZapfDingbats/Name/ZaDb/Subtype/Type1/Type/Font>>",
                "<</BaseFont/AAHPAH+ArialMT/CIDSystemInfo 58 0 R/CIDToGIDMap/Identity/DW 1000/FontDescriptor 59 0 R/Subtype/CIDFontType2/Type/Font/W[0[750 0]2 4 278 5[355]6 7 556 8[889 667 191]11 12 333 13[389 584 278 333]17 18 278 19 28 556 29 30 278 31 33 584 34[556 1015]36 37 667 38 39 722 40[667 611 778 722 278 500 667 556 833 722 778 667 778 722 667 611 722 667 944]59 60 667 61[611]62 64 278 65[469 556 333]68 69 556 70[500]71 72 556 73[278]74 75 556 76 77 222 78[500 222 833]81 84 556 85[333 500 278 556 500 722]91 93 500 94[334 260 334 584]98 99 667 100[722 667 722 778 722]105 110 556 111[500]112 115 556 116 119 278 120 130 556 131[400]132 134 556 135[350 537 611]138 139 737 141 142 333 143[549]145[778 713]147 149 549 150[556 576 494 713 823 549 274 370 365 768 889]161 162 611 163[333 584 549 556 549 612]169 170 556 172 173 667 174[778]176[944 556]179 180 333 181 182 222 183[549 494 500 667 167 556]189 190 333 191 192 500 193[556 278 222 333]198 202 667 203 206 278 207 209 778 210 212 722 213[278]214 223 333 224[556 222 667 500 611 500 260 722 556 667 500 667 556]237 238 584 239 241 333 242 244 834 245[556 778 556 278 667 500 722 500 722 500 556 552 333 667 556 667 556 722 615 722 667 556 667]268 269 556 270[222 556 292 556 334 722 556 722 556 778 556 722 333 722 333 667 500 611 278 611 375 722 556 722 556 611 500 611 500 551 778 798 578 557 446 617 395 648 552 500 365 1094]313[500]315[500]317 318 500 319[979 719 583 604 584]324 325 604 326[708 625]328 372 708 373[729 604]376 379 990 380 382 604 383[1021 1052 917]386 387 750 388[531 656 594 510 500 750 735 444 604 188 354 885 323 604]402 403 354 404[604 354 667 556 722 500 722 500 667 556 667 556 667 556 778 556 778 556 778 556 722 556 722 556]428 434 278 435[222 500 222 667]439 440 500 441[556 222 722 556 723 556 778 556 778 556 722 333 667 500 611 278 722 556 722 556 722 556 722 556 944 722 667 500 222 667 556]473[889 778 611 278 944 722 944 722 944 722 667 500 222 333 556 600]489 492 834 493 496 333 497[667 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