Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14BD2627191002A3F02A7C3C9B392FB6EB2E3924DD685081652FD476E1BE7F50DD1396A |
|
CONTENT
ssdeep
|
768:ISXy5NSEmmbE3xctKH+IjHuoaqbTr7sOy2+y9BH4crIe:OmmbE3xcfIDuoFr7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c36bfc12dc4d9382 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49cbc3c84cc600 |
|
VISUAL
wHash
|
80ed71300424ffff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
348080106c888000,14094bc3e3ccccc6 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.