Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T199E113E1C044DC3B135385E6B7F5275F75A5C355CB020A8853F853AA5BDBCA0C923A9A |
|
CONTENT
ssdeep
|
96:TkU8P79oh4lzH03feGnVBCzyEBdwvFUeJXqHFae1X3z/rVBCvQPJ:QU079oh4lzH031nezyEKET1zzevQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343436db83cbcac |
|
VISUAL
aHash
|
0000ffffff0000ff |
|
VISUAL
dHash
|
d8cc44200d236553 |
|
VISUAL
wHash
|
0000ffffff0000ff |
|
VISUAL
colorHash
|
06000000007 |
|
VISUAL
cropResistant
|
f0d4aa8e698ecce8,4667a94b5a984b4e,4020303030280812,0100000000000000,043449ddd4c8ccc4,0303332321ec6323 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.