Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T124D28571B110663B42A783C9B761B36EA2E3D249D64A081553FC839E4FD7D90EE2353A |
|
CONTENT
ssdeep
|
768:JSzy5No0W79AsEiznygl3A7ei7sOy2+y9BH4c1Ie:VWqKDym3A6i7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f53a9038bdc3 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
c8c3c3e8cd498b00 |
|
VISUAL
wHash
|
60fb70102401ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
0080a00458988000,c8c3c3e2c8cdc90b |
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.