Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DB32CA37A208B6290F974289F6D1A3DDE32BC1D9B2302BC666C9C02D76C59D945B13ED |
|
CONTENT
ssdeep
|
192:hF46AdvkOLRDAfPV7V1p0oxw2YS6/3pW6UfMmUU8VCoeG:hy6UvkO9DCvT0oxwZlpW6UfMmUFCoeG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6629919e5d29c9a |
|
VISUAL
aHash
|
ff2020e06010ffff |
|
VISUAL
dHash
|
cacdcdcdcab2b038 |
|
VISUAL
wHash
|
ff2020e06008ffff |
|
VISUAL
colorHash
|
07038008000 |
|
VISUAL
cropResistant
|
cacdcdcdcab2b038,cc8e6c4cbabef070,c0d2c29bab92c2c0,fcfffff7dce6e7f7,68ebf151734c8826 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.