Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C83333712131557F51DB93A0F121DF9A918DA384DE93A6BDB2ECD2272F99CA0CDCE240 |
|
CONTENT
ssdeep
|
768:29e6Ak6zxrHcAuA7Q7gXo9MEQzVs5tDjNarkMnQWVIse96YGLAyCYiu:TNrtIseot |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9924dc7c6386cb2 |
|
VISUAL
aHash
|
ffcf8787fff1c1f1 |
|
VISUAL
dHash
|
c01c1c1dc4631303 |
|
VISUAL
wHash
|
3e068787f7f181c1 |
|
VISUAL
colorHash
|
06003000050 |
|
VISUAL
cropResistant
|
c01c1c1dc4631303,5b4d545bc9c82b3b,358a82b484809041,fffff9f9f9dfffff,4382828290a48080 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.