Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T141E2E9B4223042FD16C353F4F6627D65B26CF7C1E65B8A9DA2E884352ED9C8C8C41E75 |
|
CONTENT
ssdeep
|
768:u7Ge1hLPTuRbokVF5siq2rMVz+9p0+teUVuZ1uySg:uaen/bkhsiqQMVz+9G+teJX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c360649f1e3e1d8e |
|
VISUAL
aHash
|
00e060003c3c3c3c |
|
VISUAL
dHash
|
928888d050d848e4 |
|
VISUAL
wHash
|
99f0e0683c7e3c3c |
|
VISUAL
colorHash
|
39400080008 |
|
VISUAL
cropResistant
|
3434b0b3352c2a74,383a16b7b7172666,928888d050d848e4 |
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 5770 techniques to evade detection by security scanners and make reverse engineering more difficult.