Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T157A38A33411875274437C6D530A65B3BE2A6994FFAA70A010EECD7FA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:r9rLz4NP/y9svbliCdQssFtiuCa28y2O9:BnmAK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c361bc3eed63c148 |
|
VISUAL
aHash
|
00006020000024ff |
|
VISUAL
dHash
|
d288c8cae0cccc90 |
|
VISUAL
wHash
|
0064fc707004ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
8001a0815c588090,d088c8cac2c8cccc |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.