Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11AA39A33411975274437C6D130B95B3BE2EACA5FF9A70A010EECD7EA1BFAC90745A11A |
|
CONTENT
ssdeep
|
1536:L/dLz4NP/y9svbliCdVYckrFtPbuCa2GG2AESi:BmAkL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9247b232e938cd6d |
|
VISUAL
aHash
|
00240000000406ff |
|
VISUAL
dHash
|
dccce0d0c0cc2cd2 |
|
VISUAL
wHash
|
04fe70303c0e0fff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c3c3c3cdcdcdc3c3,8900d0811a5a8090,dc4ce4d0c0dccc0c |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.