Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T100A2D736B144293F514383CC7361B72EA1A3528ED785183AA3F84F9E4BE6ED0DC2355A |
|
CONTENT
ssdeep
|
384:yAy5NRg0kLbugN+m9YuLkBEgClu9NU0LO09EUuMIYsOy2+y9BH4ciUIe:yAy5NRgW48BEgCluY0ZEg7sOy2+y9BH7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76ffd32906d0096 |
|
VISUAL
aHash
|
000020000400ffff |
|
VISUAL
dHash
|
1c4b43c3edcd1300 |
|
VISUAL
wHash
|
00f0f1600f01ffff |
|
VISUAL
colorHash
|
39000600001 |
|
VISUAL
cropResistant
|
0000000c0c000000,0080900270b08000,9c4f43c3c3edcd13 |
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.