Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BEF37620B4015936909B45C9A2B3672B21E5D34ACA570584FAF4C3BA9BFFCA8FE77150 |
|
CONTENT
ssdeep
|
3072:aWFekOMyLgMZ7dJDfYfyfNalYyP/9QTOa737N:a8c0MZ7dJDfYfyfcQTOW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8942f20bc7b2beac |
|
VISUAL
aHash
|
ff00002018001fff |
|
VISUAL
dHash
|
55d032c2f331b100 |
|
VISUAL
wHash
|
ff0000383908ffff |
|
VISUAL
colorHash
|
06006000000 |
|
VISUAL
cropResistant
|
0000624969640074,01d8d89b1bd8d878,7400000000606060,d5b03242f27339b1 |
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 653 techniques to evade detection by security scanners and make reverse engineering more difficult.