Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T172F10DF1E040EE3B475382D5A7B96B0B7791C349CF431A44A3F8839BABDAC60CE15599 |
|
CONTENT
ssdeep
|
96:TkEnbzDJ1tkUcMt8v67McdsSS8Loti7yt9HF2+X7HFKaXoz/JD0Dd2J:QEnbzDJ1bcMt8iIGRoE7yL5SzQdw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4b61ecc1b9bac0c |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
2004161e44040804 |
|
VISUAL
wHash
|
9ff7c3c3f0f00000 |
|
VISUAL
colorHash
|
07000600180 |
|
VISUAL
cropResistant
|
2004061e0c060608,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.