Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B1E2A5319109793F1A9BB3D0E771B35AA39683CEEA43131A42FD874D0BDEC90DE06596 |
|
CONTENT
ssdeep
|
384:7bZjIIKu9mIIIII9VlBrmy+UquB3Sii853CIj9F4eOZoUTqsYuOpW:9II6IIIIIHhBdCIj9E2eh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e3791c1c3963c6 |
|
VISUAL
aHash
|
00e1e7ff7f181810 |
|
VISUAL
dHash
|
97cfcbf3e5e3f0e0 |
|
VISUAL
wHash
|
00e1ffff7f181810 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ce9d988c8c,0000616961000000,97cfcbf3e5e3f0e0 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)