Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19163763291869C139097D2D9F1718B0E3381C785C7134B6563F967BEBECECB5AE21298 |
|
CONTENT
ssdeep
|
1536:AskW+MR91y1m9ABa1wi1Q1P1l171e171R+BvwQ/dyeeeewyeqeMeeeeHIeeeepYK:F/Ym9ABAwoqPBZkZ8d12rKVGA83EDITo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3cd363893c99269 |
|
VISUAL
aHash
|
3430787848444646 |
|
VISUAL
dHash
|
6967e1d29a8a9a8c |
|
VISUAL
wHash
|
70707d7bcb474246 |
|
VISUAL
colorHash
|
03200030000 |
|
VISUAL
cropResistant
|
6967e1d29a8a9a8c,b2b04c30e6f22565,dbe2675f3c4d192c,556931e431272b23,87ca4d3d7b5f3732,b2b8686b74657757,2764e7f7e3ca6823,d7693248cccc442c,a7ca4d3d7b573632,a7ca4d3d7b5f3732,77961203835261cf,1793d7d44569a2d1 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)