Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CDD131E1C554DE36571286D9E7B99B0F7392C309CF43194093F883ABABDBCA0DB21598 |
|
CONTENT
ssdeep
|
96:TkCmzm+ojzeNNeSTgGzytgzdvUfX48ct7zNCDnwvF4QexX0HFweRXqz//FyJ:Q9C3jzeTkGzy6zRUvWxNqbetkzq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b2334d4c33336c4f |
|
VISUAL
aHash
|
00ffc7c7ffffffff |
|
VISUAL
dHash
|
00001c0e0c060000 |
|
VISUAL
wHash
|
000c000020303030 |
|
VISUAL
colorHash
|
070030000c0 |
|
VISUAL
cropResistant
|
04001c0e04060000,0000000000000000 |
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.