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+# Configure logging to suppress warnings for fontTools fonttools_logger = logging.getLogger("fontTools.subset") fonttools_logger.setLevel(logging.WARNING) class ScanEmail(strelka.Scanner): """ - Scanner that collects metadata, extracts files from email messages, and generates thumbnails. + Extracts and analyzes metadata, attachments, and generates thumbnails from email messages. + + This scanner processes email files to extract and analyze metadata and attachments. + It supports both plain text and HTML emails, including inline images. + + Scanner Type: Collection + + Attributes: + None + + ## Detection Use Cases + !!! info "Detection Use Cases" + - **Document Extraction** + - Extracts and analyzes documents, including attachments, from email messages for content review. + - **Email Header Analysis** + - Analyzes email headers for potential indicators of malicious activity, such as suspicious sender addresses + or subject lines. + + ## Known Limitations + !!! warning "Known Limitations" + - **Email Encoding and Complex Structures** + - Limited support for certain email encodings or complex email structures. + - **Limited Output** + - Content is limited to a set amount of characters to prevent excessive output. + + ## To Do + !!! question "To Do" + - **Improve Error Handling**: + - Enhance error handling for edge cases and complex email structures. + - **Enhance Support for Additional Email Encodings and Content Types**: + - Expand support for various email encodings and content types to improve scanning accuracy. + + ## References + !!! quote "References" + - [Python Email Parsing Documentation](https://docs.python.org/3/library/email.html) + - [PyMuPDF (fitz) Documentation](https://pymupdf.readthedocs.io/en/latest/) + + ## Contributors + !!! example "Contributors" + - [Josh Liburdi](https://github.com/jshlbrd) + - [Paul Hutelmyer](https://github.com/phutelmyer) + - [Ryan O'Horo](https://github.com/ryanohoro) - This scanner processes email files to extract metadata, attachments, and generates - thumbnail images of the email content for a visual overview. It handles both plain text and HTML emails, - including inline images. """ - def scan(self, data, file, options, expire_at): + def scan( + self, + data: bytes, + file: strelka.File, + options: dict, + expire_at: int, + ) -> None: """ - Processes the email, extracts metadata and attachments, and optionally generates a thumbnail. + Processes the email, extracts metadata, and attachments. Args: - data: The raw email data. - file: File details. - options: Scanner options including thumbnail creation and size. - expire_at: Expiry time of the scan. + data (bytes): The raw email data. + file (strelka.File): File details. + options (dict): Scanner options. + expire_at (int): Expiry time of the scan. + + Processes the email to extract metadata and attachments. """ + # Initialize data structures for storing scan results attachments = [] self.event["total"] = {"attachments": 0, "extracted": 0} - # Thumbnail creation based on user option - create_thumbnail = options.get("create_thumbnail", False) - thumbnail_header = options.get("thumbnail_header", False) - thumbnail_size = options.get("thumbnail_size", (500, 500)) - - # Attempt to create a thumbnail from the email - if create_thumbnail: - try: - image = self.create_email_thumbnail(data, thumbnail_header) - if image: - image.thumbnail(thumbnail_size, Image.Resampling.BILINEAR) - buffered = io.BytesIO() - image.save(buffered, format="WEBP", quality=30, optimize=True) - base64_image = base64.b64encode(buffered.getvalue()).decode("utf-8") - self.event["base64_thumbnail"] = base64_image - else: - self.flags.append( - f"{self.__class__.__name__}: image_thumbnail_error: Could not generate thumbnail. No HTML found." - ) - except Exception as e: - self.flags.append( - f"{self.__class__.__name__}: image_thumbnail_error: {str(e)[:50]}" - ) - # Parse email contents try: # Open and parse email byte string @@ -182,170 +195,8 @@ def scan(self, data, file, options, expire_at): f"{self.__class__.__name__}: email_parse_error: {str(e)[:50]}" ) - def create_email_thumbnail(self, data, show_header): - """ - Generates a thumbnail image from the content of an email message. - - This function processes the email to extract images and text, combines them into - a single image, and returns that image. - - Args: - show_header: Whether to show the header details in the output. - data: Raw email data. - - Returns: - A PIL Image object representing the combined thumbnail image of the email. - None if no images could be created. - """ - # Supported image types for extraction from the email - image_types = [ - "image/gif", - "image/jpeg", - "image/png", - "image/jpg", - "image/bmp", - "image/ico", - "image/svg", - "image/web", - ] - - # Dictionary to map content IDs to images - images_dict = {} - - # Create a temporary directory to store generated images - with tempfile.TemporaryDirectory() as temp_dir: - # Parse the email data - msg = email.message_from_bytes(data) - - # List to store paths of generated images - images_list = [] - - # Extract and format header details from the email - if show_header: - header_fields = ["Date", "From", "To", "Subject", "Message-Id"] - header_values = { - field: self.decode_and_format_header(msg, field) - for field in header_fields - } - - # Generate an HTML table from the header values - headers_html = '\n' - for field, value in header_values.items(): - headers_html += f' \n' - headers_html += "
{field}:{value}
\n

\n" - - # Convert HTML header details to an image - header_image_path = self.html_to_image(headers_html, temp_dir) - if header_image_path: - images_list.append(header_image_path) - - # Process the MIME parts to extract images - for part in msg.walk(): - if part.is_multipart(): - continue - - mime_type = part.get_content_type() - if mime_type in image_types: - # Extract image data and create a base64 encoded version - content_id = part.get("Content-ID", "").strip("<>") - image_data = part.get_payload(decode=True) - img_data_base64 = base64.b64encode(image_data).decode("utf-8") - images_dict[content_id] = img_data_base64 - - # Process HTML body parts and replace CID references with base64 data - for part in msg.walk(): - if part.get_content_type() == "text/html": - payload = part.get_payload(decode=True).decode("utf-8") - for cid, img_data in images_dict.items(): - payload = payload.replace( - f"cid:{cid}", f"data:image/jpeg;base64,{img_data}" - ) - - # Convert the modified HTML body to an image - body_image_path = self.html_to_image(payload, temp_dir) - if body_image_path: - images_list.append(body_image_path) - - # Combine all extracted images into a single image - if images_list: - images = [Image.open(path) for path in images_list] - return self.append_images(images) - - return None - @staticmethod - def html_to_image(html_content, temp_dir): - """ - Converts HTML content to an image. - - This method uses WeasyPrint to convert the HTML content to a PDF and then - uses PyMuPDF (fitz) to render the PDF as an image. The rendered image is saved as a PNG file. - - Args: - html_content: HTML content to be converted into an image. - temp_dir: Temporary directory to store intermediate files. - - Returns: - The file path to the generated image, or None if the process fails. - """ - # Generate a unique filename for the PDF - pdf_filename = hashlib.md5(html_content.encode()).hexdigest() + ".pdf" - pdf_path = os.path.join(temp_dir, pdf_filename) - - # Convert HTML to a PDF using WeasyPrint - try: - HTML(string=html_content).write_pdf(pdf_path) - - # Open the PDF with fitz and render the first page as an image - with fitz.open(pdf_path) as doc: - if doc.page_count > 0: - page = doc.load_page(0) # first page - pix = page.get_pixmap() - image_path = os.path.join( - temp_dir, pdf_filename.replace(".pdf", ".png") - ) - pix.save(image_path) - return image_path - else: - return None - except Exception: - return None - - @staticmethod - def append_images(images): - """ - Combines multiple image objects into a single image. - - This function stacks the provided images vertically to create one continuous image. - It's particularly useful for creating a visual summary of an email's content. - - Args: - images: A list of PIL Image objects to be combined. - - Returns: - A single PIL Image object that combines all the input images. - """ - # Define the background color for the combined image - bg_color = (255, 255, 255) - - # Calculate the total width (max width among images) and total height (sum of heights of all images) - widths, heights = zip(*(img.size for img in images)) - total_width = max(widths) - total_height = sum(heights) - - # Create a new image with the calculated dimensions - combined_image = Image.new("RGB", (total_width, total_height), color=bg_color) - - # Paste each image onto the combined image, one below the other - y_offset = 0 - for img in images: - combined_image.paste(img, (0, y_offset)) - y_offset += img.height - - return combined_image - - @staticmethod - def decode_and_format_header(msg, header_name): + def decode_and_format_header(msg: email.message.Message, header_name: str) -> str: """ Decodes and safely formats a specific header field from an email message. @@ -353,12 +204,13 @@ def decode_and_format_header(msg, header_name): into a human-readable format, and also ensures that the text is safe for HTML display. Args: - msg: Parsed email message object. - header_name: The name of the header field to decode. + msg (email.message.Message): Parsed email message object. + header_name (str): The name of the header field to decode. Returns: - A string representing the decoded and header field values. + A string representing the decoded and formatted header field values. Returns a placeholder string if the header field is missing or cannot be decoded. + """ try: # Decode the specified header field diff --git a/src/python/strelka/tests/test_scan_email.py b/src/python/strelka/tests/test_scan_email.py index 1dc145b3..cd000f2d 100644 --- a/src/python/strelka/tests/test_scan_email.py +++ b/src/python/strelka/tests/test_scan_email.py @@ -82,87 +82,6 @@ def test_scan_email(mocker): TestCase().assertDictEqual(test_scan_event, scanner_event) -def test_scan_email_with_thumbnail(mocker): - """ - Pass: Sample event matches output of scanner. - Failure: Unable to load file or sample event fails to match. - """ - - test_scan_event = { - "elapsed": mock.ANY, - "flags": [], - "total": {"attachments": 2, "extracted": 2}, - "body": "Lorem Ipsum\n\n[cid:image001.jpg@01D914BA.2B9507C0]\n\n\nLorem ipsum dolor sit amet, consectetur adipisci...tristique mi, quis finibus justo augue non ligula. Quisque facilisis dui in orci aliquet fermentum.\n", - "domains": unordered( - [ - "schemas.microsoft.com", - "www.w3.org", - "div.msonormal", - "span.msohyperlink", - "span.msohyperlinkfollowed", - "span.emailstyle17", - "1.0in", - "div.wordsection1", - ] - ), - "attachments": { - "filenames": ["image001.jpg", "test.doc"], - "hashes": unordered( - [ - "ee97b5bb7816b8ad3c3b4024a5d7ff06", - "33a13c0806ec35806889a93a5f259c7a", - ] - ), - "totalsize": 72819, - }, - "subject": "Lorem Ipsum", - "to": unordered(["baz.quk@example.com"]), - "from": "foo.bar@example.com", - "date_utc": "2022-12-21T02:29:49.000Z", - "message_id": "DS7PR03MB5640AD212589DFB7CE58D90CFBEB9@DS7PR03MB5640.namprd03.prod.outlook.com", - "received_domain": unordered( - [ - "ch2pr03mb5366.namprd03.prod.outlook.com", - "mx0b-0020ab02.pphosted.com", - "pps.filterd", - "mx.example.com", - "ds7pr03mb5640.namprd03.prod.outlook.com", - "mx0a-0020ab02.pphosted.com", - ] - ), - "received_ip": unordered( - [ - "022.12.20.18", - "fe80::bd8e:df17:2c2f:2490", - "8.17.1.19", - "2603:10b6:5:2c0::11", - "205.220.177.243", - "2603:10b6:610:96::16", - "127.0.0.1", - "2002:a05:6500:11d0:b0:17b:2a20:6c32", - ] - ), - "base64_thumbnail": "UklGRgQ+AABXRUJQVlA4IPg9AADw/ACdASqCAfQBPxF+tFQsKCUjKfw5WYAiCWlu/F+5jutQzvEJ4w" - "/pvBHyNfRf3X/I////kchr3//S82P6//If/nrE/rO8n56f/3qBfs3789Kx771c5++wR5A/en1Jfx/Nn928trzn" - "/1n7feTf9p/2H7afAP/T/9H6bH3p6Uf4T/6/vv8C/+b/9n75FL7nZ5mu4gd9zs8zXcQO" - "+52eZruIHfc7PM13EDvudnma7iB33OzzNdxA77nZ3+e5IriyfRIt/vg3" - "+pSaeYt4QBPM13EDvuS8U1MkohIJ9SAbDbgdtEaNdcub66DxvHIoijT9sn+Ue" - 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", - } - - scanner_event = run_test_scan( - mocker=mocker, - scan_class=ScanUnderTest, - fixture_path=Path(__file__).parent / "fixtures/test.eml", - options={ - "create_thumbnail": True, - }, - ) - - TestCase.maxDiff = None - TestCase().assertDictEqual(test_scan_event, scanner_event) - - def test_scan_email_incomplete(mocker): """ Pass: Sample event matches output of scanner. @@ -171,9 +90,7 @@ def test_scan_email_incomplete(mocker): test_scan_event = { "elapsed": mock.ANY, - "flags": [ - "ScanEmail: image_thumbnail_error: Could not generate thumbnail. No HTML found." - ], + "flags": [], "total": {"attachments": 0, "extracted": 0}, "body": "Hi Placeholder,\n\nCan I have access?\n\nThanks,\nJohn\n\n\nFrom: Placeholder Smith " " shared a file or folder located in Acme Share with you. Delete visitor "