Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T122A3B52341032A3F952392F5F25AFB95D5B98317E197472DF1F8027A22CDC96AA233D4 |
|
CONTENT
ssdeep
|
1536:lA6PR9HMj6ahZJ2+UU9bgqiHun2mxZ+APEe3L/JjMhzy3LVPu2COegeaxGMxxDdk:ETDY5ffjocozeQgN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c9db536b6339684 |
|
VISUAL
aHash
|
7e1818181818003c |
|
VISUAL
dHash
|
d431b070b0300cf0 |
|
VISUAL
wHash
|
7f18183c18185eff |
|
VISUAL
colorHash
|
38000007000 |
|
VISUAL
cropResistant
|
e8cc4d3369b2d4e8,d431b070b0300cf0 |
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 36 techniques to evade detection by security scanners and make reverse engineering more difficult.