Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B582A5F2419808FE366BA384E959DB1BB2CD858CFE4251E1EBEAC19C21C8D54DCF1653 |
|
CONTENT
ssdeep
|
192:Pv3FCI9TbTGDtV/AOff4sRjGZpD9ufugtIVcVNV5TV16MnkqsGWMccdfRqvbbfg:H3FrKz/Ay6Ahk2JEbs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
984a50adb9711bb7 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
f0e068b206710e1e |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
0616702b170e0e16,d832b2f069683230 |
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 29 techniques to evade detection by security scanners and make reverse engineering more difficult.