Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15AE29972A0406B3B029393C6B290A75E63E2834FD34A052697FD836D4BE3D51ED2775E |
|
CONTENT
ssdeep
|
768:NQeR13RtsNwNc8XGQkYVy7sOy2+y9BH4c1Ie:D3/js7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d340ed32bd6994c9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
98ccc0c8cc0cc300 |
|
VISUAL
wHash
|
006478302e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04324c4c4c043204,0080800058988000,9888c4d0c8cc2cc3 |
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.