Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T186838422E3531902107BC8C8B16B575D2386874DEB034E75A7ED56BDEACF8B63752388 |
|
CONTENT
ssdeep
|
1536:VjeeKnIeeVreeeeQeeeteeeeceereeeereereeeeKeereeeeP4eeZeeYeeDeeeF9:PUNMtFYUJ/afH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b14d3136cd3396c6 |
|
VISUAL
aHash
|
c3c1ffcbd3c7c7c7 |
|
VISUAL
dHash
|
0b278b9baa8c8e8e |
|
VISUAL
wHash
|
8181fbc3c3c7c3c3 |
|
VISUAL
colorHash
|
06200018001 |
|
VISUAL
cropResistant
|
0b278b9baa8c8e8e,aa51c1cc2563c7c3,4b6a7198d8d08d4d,e1b9d9e7d8584f5f,81818181969a8901 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.