Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117F251719180A9370293C2D2A7B17F6FA3C1C399CA130B9657F4835E6FD7C80EE25669 |
|
CONTENT
ssdeep
|
384:dj1ouQvK/22Qx/fgkoYIXh8bQwPqG+brmBkb+wjdv+9YGXcP7N4UB:Z1ouQvK/22i3JJIXhKMXWkb+wjdvtPFB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8259b9063fe90e3e |
|
VISUAL
aHash
|
00000000047cffff |
|
VISUAL
dHash
|
dbd8f1f0eced163e |
|
VISUAL
wHash
|
000018183cffffff |
|
VISUAL
colorHash
|
13e00000040 |
|
VISUAL
cropResistant
|
a0b1ac536b2b01fc,b4cc6cedd520363e,5bd990f171d46ced |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.