Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T152C21E296218AE3E246742D4D3753B3F21E95283ED4A122993FD42395F9BF88ED325D0 |
|
CONTENT
ssdeep
|
384:82urVbQwX2ayzdeGlW3oJh+hYfHUDaDRj:n2V3X2DAgW3GhOM0u9j |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f85847434b3abca3 |
|
VISUAL
aHash
|
0000cf9fffffffff |
|
VISUAL
dHash
|
21203c3b33344c4c |
|
VISUAL
wHash
|
0000868999ffe7ff |
|
VISUAL
colorHash
|
07006000000 |
|
VISUAL
cropResistant
|
004b2b2b2b630200,203c3a3314204c0c,00004000e0e00000 |
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.