Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T153A2B632A0501A3F615383CDB3A2BB6DA2E393CDDB890C0556BC4B9E47D6E90CD1756A |
|
CONTENT
ssdeep
|
384:4Ay5Nm4+LEQHBMHRNdWrzdDVV9NWWl6nEh/7uUMIYsOy2+y9BH4ciUIe:4Ay5Nm4K1rzdDVV6WlWEhz67sOy2+y9B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367dd12b2696592 |
|
VISUAL
aHash
|
000020000400ffff |
|
VISUAL
dHash
|
1c4343cbed237000 |
|
VISUAL
wHash
|
00f9f1010f00ffff |
|
VISUAL
colorHash
|
39000400002 |
|
VISUAL
cropResistant
|
0000000c0c000000,0080900270b08000,9c43434bcdcd0770 |
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.