Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T100A38B27421975274437C2C1347A5B3BD1A6999FFAE70E010EECCBFA6BF9CA0741A119 |
|
CONTENT
ssdeep
|
768:VKktpR4nXF6YjOpSpFlTC6rr7BxQVBVV+pa1Kp0lPLP:V5tpR4nXBKpSpFl26vFUrV+Y1VlPLP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c1e13e1cc9e3e2cc |
|
VISUAL
aHash
|
40c070f87814002c |
|
VISUAL
dHash
|
98d0c3c3d0ad6848 |
|
VISUAL
wHash
|
c0e8f0f8fc7414bc |
|
VISUAL
colorHash
|
30200050000 |
|
VISUAL
cropResistant
|
98d0c3c3d0ad6848 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.