Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T155F309E573B15966414B53D7ABA02B782113F39BCB514AC8C6B90EF42B91F58F83348E |
|
CONTENT
ssdeep
|
1536:Dedh/EzO7qmh/dt1PXkPD2nxJ4p9EtHlFuhX5U5A5F5zUdyFSThK/K/1:MGPUAgTp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b38e39932c93398e |
|
VISUAL
aHash
|
bfffffe7e7e7e7c3 |
|
VISUAL
dHash
|
2b4c0c4c0c0e4896 |
|
VISUAL
wHash
|
81c3c3c3c3c3e7c3 |
|
VISUAL
colorHash
|
07407000000 |
|
VISUAL
cropResistant
|
2b4c0c4c0c0e4896,333236b6b63632b2 |
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 86 techniques to evade detection by security scanners and make reverse engineering more difficult.