Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T103E2C932D299257F022386C1BB11B7FEE2D6C21DCA5209D0A7DDC25DE7CADA0B9D21D4 |
|
CONTENT
ssdeep
|
768:T6TkdH34LMNEe+PhIbeNVcSmet8AS+OINJ+o:I5ppIbeoU8U+o |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc2c939367c68693 |
|
VISUAL
aHash
|
c3818181c3ffffff |
|
VISUAL
dHash
|
2b3333333bc0dcdc |
|
VISUAL
wHash
|
0000808081ffffff |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
2b3333333bc0dcdc,33b1337371b3f068 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.