Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T142E22614B205182F1173B6C1B421DAEF72D1F32B530348566AEC8AD9FAE7CB4F0696E5 |
|
CONTENT
ssdeep
|
192:jQ4oWnWAwDipkncM28pDAlANmCSxST8KXUz9tIG6xST8HiXwyXlt42ZLpgZC8ev7:jQ7WnE35b3K0a9tI30TXltvZLcAYweM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
94beeae38db0a684 |
|
VISUAL
aHash
|
ff00060e3e62587e |
|
VISUAL
dHash
|
29b6bc3cf4ceb8f6 |
|
VISUAL
wHash
|
ff00060e3e66787e |
|
VISUAL
colorHash
|
1e202008040 |
|
VISUAL
cropResistant
|
61618022152592b0,b6bc3cf4c49ab0f6,6ef80066fc6064e4,b8fec78b23268ce1,b6b4bc70c48ab8f6 |
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 277 techniques to evade detection by security scanners and make reverse engineering more difficult.