Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18864416C87575BE65EA9226CA0A1008D346ED8A9EFF27363D8FF4937385D8C441F07A4 |
|
CONTENT
ssdeep
|
3072:Uz9wapwaCYQVX9WkK0ybI8Z1n820D0j/c1:mbpQVX9WL1uD041 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8dd5e0a0ddd88357 |
|
VISUAL
aHash
|
ff000018000000ff |
|
VISUAL
dHash
|
b2c4f872e4eb3170 |
|
VISUAL
wHash
|
ff003c181e3f00ff |
|
VISUAL
colorHash
|
39400038000 |
|
VISUAL
cropResistant
|
008000d2d2008100,2000000000000000,f2cc7072eceb3370 |
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 148 techniques to evade detection by security scanners and make reverse engineering more difficult.