Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T138E376F263B0657B1E1BC7E4EE672B5571D712B8DAC20889C79486F45AE9CF2CD088C1 |
|
CONTENT
ssdeep
|
384:flarkbN8YTMPqyDjVYkHPPE8+PPFY5PPfVe2PPf/wPPf4iPPFz0PPf+pLPP6dBPL:6EyL3clFbIDmzyZL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f8bc47c7513851c3 |
|
VISUAL
aHash
|
7c8f8f8fefefece8 |
|
VISUAL
dHash
|
e42b393a4b0e0908 |
|
VISUAL
wHash
|
3c878f8fefe38080 |
|
VISUAL
colorHash
|
07203008000 |
|
VISUAL
cropResistant
|
e42b393a4b0e0908 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.