Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T107E2873191546A3B01E793DAB361672EB2E3C289DB87062643FD836D0FE2E50DE73519 |
|
CONTENT
ssdeep
|
384:ceFqrab2Vx591T1s1Sd3e9yjYdwuUj1/o6qKvjsi0/ifH8lCP2HsjzGnNvIYsOyK:ceFqrpjp7HTN0/aw7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9247b412e939b9e9 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
ccec40c8cccc2c00 |
|
VISUAL
wHash
|
04fc30300c0effff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c3e3cdcdcdc3c3c3,0880880458988000,dcece0c8c0cccc2c |
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.