Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E32296E1D0A0DF374B1282D5A7767B6B76B1C244CB43094453F893ADABCACB1CE2199C |
|
CONTENT
ssdeep
|
96:TkNj3Ij1j/jpjWKz8inzST2OMbStqRjJkVHyt78I9IHj8t7WVFXyXNHFUGXCz/jH:QnKz8inPV5Jkdyl9IwUqmzXol8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9b14ec667a17382 |
|
VISUAL
aHash
|
ffdfcfcbffffff00 |
|
VISUAL
dHash
|
06361e1600100000 |
|
VISUAL
wHash
|
c3818383c3ffff00 |
|
VISUAL
colorHash
|
070000180c0 |
|
VISUAL
cropResistant
|
0e361e1606000000,e3d99190a24b4e46,0000002020202020 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.