Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17AE2C732B1107A3B01A3D3DDB362F72AF2D74249EA860415A1FD836C0BE3D94DA37916 |
|
CONTENT
ssdeep
|
384:NSky5NMGmvIDC6b/1wFVNxaFKcn07sbu+ZA1MH6NIYsOy2+y9BH4ciUIe:NSky5NMGKnYK6LA57sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c360bc3bed26c583 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
d0ccc4c2caccac00 |
|
VISUAL
wHash
|
0064fc702034ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
088080024c888000,d08cccc2cad8cc6c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.