Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T165C17B115240183F1177A8C8D8D49F2EA1ABD35DCA0B4500ABF942CD2FF7DA1BA59AFD |
|
CONTENT
ssdeep
|
96:3usVBEakDSSO4rSO0SvSTbYyoR0ruALGeAGkD3oY4cnC2cV54+r:FPmQj/NoRFALataj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8d663399c96666cc |
|
VISUAL
aHash
|
0000181a1b1b0303 |
|
VISUAL
dHash
|
fef6b2b2b2b2fefe |
|
VISUAL
wHash
|
03031b1f1f1f1f0f |
|
VISUAL
colorHash
|
300000001c0 |
|
VISUAL
cropResistant
|
c0b0a0f8f880b0ca,fef6b2b2b2b2fefe |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.