Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1240409F172E4A1E4A40BC7E4E672B8B6355F31FFBF5AC15441A419A4EB928EC9C0CC91 |
|
CONTENT
ssdeep
|
1536:i8ANd8P8PcMr/MuwWzZ0ueE++6Pc/Xy8ksKhY6AgRAaGL:7rdAsAh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8aa2dbdf672220ce |
|
VISUAL
aHash
|
3c3c18003c3c3c38 |
|
VISUAL
dHash
|
696961616a696869 |
|
VISUAL
wHash
|
bc3c3d183c3c3c3c |
|
VISUAL
colorHash
|
30007000040 |
|
VISUAL
cropResistant
|
d08080b28e8080d0,d08080b28e8080d0,c08080b28e8080c0,c08080b28e8080c0,696961616a696869 |
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 74 techniques to evade detection by security scanners and make reverse engineering more difficult.