Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T150E152F1D140ED3B434386E5A7B56B5B77D1C349CF02094893F883AF5BDACA0CA1669A |
|
CONTENT
ssdeep
|
192:QrD/zDnnbzDJ1xw1t8iEKtGDDYa/L2ezrcqw:QrD/zDvNEb1EKtGDDYYaQcqw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b31d9c668c1ccc |
|
VISUAL
aHash
|
ffffffefffffff00 |
|
VISUAL
dHash
|
2808180c0c300000 |
|
VISUAL
wHash
|
a0e0e0a42038ff00 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
2808080c0c000800,0000000000000000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.