Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17C92B5316155263F2267C3D87722B72EE1D39298D7852C0583FC0B6ECBD6E90DD1746A |
|
CONTENT
ssdeep
|
384:85py5Ng9KZpKo0+8qvA3rQS6v+Uq8qmoCvnIYsOy2+y9BH4cCUIe:0py5NgupA3rQS6v+Uq8qml/7sOy2+y9x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343bc389c6992bb |
|
VISUAL
aHash
|
000020200000ffff |
|
VISUAL
dHash
|
9cc8c8c3cccc9300 |
|
VISUAL
wHash
|
00f06070340fffff |
|
VISUAL
colorHash
|
39000000180 |
|
VISUAL
cropResistant
|
0010606969680420,0080800270908000,9cc8c8c8c3ccccc3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.