Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A6529D72A5409E770193D3E6A771A76FB682C289CE831682A3F8D34D0FC7DA6CD11215 |
|
CONTENT
ssdeep
|
192:xdvPUnYJ4vRls4QJqu/iD3MNVyBTZB1XfGRRJoTZAgxvP:xRBVqu/iDsVwTZB1XfGuAgRP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cfcf31303092cfcc |
|
VISUAL
aHash
|
003c3c3c00000000 |
|
VISUAL
dHash
|
4e61616916680000 |
|
VISUAL
wHash
|
607e7e7e00000000 |
|
VISUAL
colorHash
|
31007000000 |
|
VISUAL
cropResistant
|
2cd381b1d1d134c0,4e61616916680000 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.