Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19CA3CD23421975274437C2C1347A5B3BD5A6999FFAE70A000EECCBFA6BF9C90741B129 |
|
CONTENT
ssdeep
|
768:SWqtpR4nXF6YjOpSpFlTC6rr7bmoZBusQ6tWfpS/J5:SPtpR4nXBKpSpFl26v/DBusQa/J5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cfe09f1891c7c295 |
|
VISUAL
aHash
|
fcb1717111103fbf |
|
VISUAL
dHash
|
6063c3c3736d627c |
|
VISUAL
wHash
|
fcb1717111101f3f |
|
VISUAL
colorHash
|
1ec00048000 |
|
VISUAL
cropResistant
|
9bcb6bb292b6d2db,6063c3c3736d627c |
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.