Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C2833BF43516A52709B743A720EF5503F1B5521BD80E0C20B29CEA9F76EDC96B4A7BC8 |
|
CONTENT
ssdeep
|
1536:UA/bazVu7mqJAArQUd512BkLSRjptgvQ32wvaXdmqJzp:hbX0kLQ332XdT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c586b66c2f976858 |
|
VISUAL
aHash
|
f7fe78381878feff |
|
VISUAL
dHash
|
4cc8c0e0e2f2800c |
|
VISUAL
wHash
|
b77e70301070fe87 |
|
VISUAL
colorHash
|
07000030200 |
|
VISUAL
cropResistant
|
4cc8c0e0e2f2800c,945cecf4e4fccf95,0899999939797100,7d35535e55553b79 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.