Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13FD26572A184273B42A7C2D9B321772EB2D3428DEBD6191253FD879D1BE7E10DD1342A |
|
CONTENT
ssdeep
|
768:Qe/GLYn5rEL0jwGkifM7sOy2+y9BH4c1Ie:7uyjA7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d272f43a8d69e1c1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
9c2c48c8cd4d9b00 |
|
VISUAL
wHash
|
00c4e0380f07ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0080800458988000,9c2c48c8f1cdcd1b |
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.