Reconnaissance tool to gather images metadata from websites.
Images contains numerous metadata fields depending on their filetype (JPG, PNG...). These fields include interesting information for reconnaissance purposes such as: names, telephone numbers, email addresses or URLs. Often, website editors do not strip the images hosted on their websites from these information, making leaks possible. This tool allow you to retreive images hosted on a website and parse them to obtain potentially interesting information.
Rely on:
- BeautifulSoup
- PyExiftool
pip3 install -r requirements.txt
Agnostic to image filetypes, e.g. you may end up collecting a lot of SVG without metadata but the tool works without knowing a file is a PNG or JPG.
Currently supports HTML <img> attributes:
- src
- srcset (partially)
- data-src
- data-srcset (partially)
- data-lazy
supports data: scheme in these attributes with:
- base64 encoded content
For now, all collected images are stored in a local folder named "extracted_images". This can grow pretty quickly, be sure to have enough storage.
$ ./webimginfo.py -h
usage: webimginfo.py [-h] [-o OUT] url
positional arguments:
url URL to get images from
options:
-h, --help show this help message and exit
-o OUT, --out OUT Output filenameLe Monde:
$ ./webimginfo.py https://www.lemonde.fr -o lemonde
WebImgInfo v1.0
Scraping https://www.lemonde.fr
Analyzing new image tag
src: https://img.lemde.fr/2023/04/06/0/0/4020/2680/180/0/95/0/e643f1f_1680785011106-000-33c29en.jpg
alt: Réseau électrique aux alentours de Verfeil (Haute-Garonne), le 25 mars 2023.
Writing to disk as ./extracted_images/https__img.lemde.fr_2023_04_06_0_0_4020_2680_180_0_95_0_e643f1f_1680785011106-000-33c29en.jpg
Analyzing new image tag
[...]
Analyzing ./extracted_images/https__img.lemde.fr_2023_04_06_[...].jpg
[names]
IPTC:Source: AFP
IPTC:CopyrightNotice: AFP or licensors
IPTC:Credit: AFP
IPTC:Credit: AFP
IPTC:By-line: CHARLY XXXXXXXXXXX
[addresses]
IPTC:City: Verfeil
IPTC:Province-State: Haute-Garonne
IPTC:Country-PrimaryLocationName: France
IPTC:Country-PrimaryLocationCode: FRA
[emails]
[phone]
[urls]
[dates]
File:FileModifyDate: 2023:04:07 11:59:01+02:00
File:FileAccessDate: 2023:04:07 11:58:21+02:00
File:FileInodeChangeDate: 2023:04:07 11:59:01+02:00
ICC_Profile:ProfileDateTime: 1998:02:09 06:49:00
IPTC:DateSent: 2023:03:25
IPTC:TimeSent: 19:10:27+00:00
IPTC:DateCreated: 2023:03:25
IPTC:TimeCreated: 19:11:40+01:00
[platform]
[software]
IPTC:OriginatingProgram: g2mapping/libg2 3.9.39
[misc/context]
IPTC:ObjectName: FRANCE-ENERGY-ELECTRICITY
IPTC:Keywords: ['energy', 'Horizontal', 'ILLUSTRATION', 'ENERGY AND RAW MATERIALS', 'ELECTRICITY', 'ELECTRICITY PYLON', 'SUNRISE AND SUNSET']
IPTC:Caption-Abstract: This photograph taken on March 25, 2023, shows an electricity pylon with a sunset in the background near Verfeil, southwestern France. (Photo by Charly XXXXXXX / AFP)
IPTC:SubjectReference: IPTC:04005000:economy, business and finance:energy and resource:
IPTC:SupplementalCategories: energy and resource