Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B0D2A332B000773B129782C9F750FB5EA3E35649E666040263FC975E1BE7E54DE13A2A |
|
CONTENT
ssdeep
|
768:USFy5NGobJPEWSufTcgA7sOy2+y9BH4c1Ie:OPEWZ3A7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d373f838cd2d81c1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
140cc8c0c80c0f00 |
|
VISUAL
wHash
|
00ece4203c06ffff |
|
VISUAL
colorHash
|
31e00010000 |
|
VISUAL
cropResistant
|
0680a00458988000,9408ccc0c0cccc0f |
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.