Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D9D29532A210273B1197C3CAB751E75EA3E3624DDB46081993FC836D4BE7E54DE2352A |
|
CONTENT
ssdeep
|
768:MSzy5NgkyQitIL/tUMu+eo4R7sOy2+y9BH4c1Ie:0vUMuJT7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c361f53a961cb9c1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
c8c3c3e8cd69c500 |
|
VISUAL
wHash
|
60f3703c0001ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
c440a08058d88000,c8c3c3e2cdcda9c4 |
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.