Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1511221F1E090ED370B5381C6A7B67B2B77A1C745CF020A5463F8936A5BCAD60CE215AD |
|
CONTENT
ssdeep
|
96:TkC6nbzDJ1tkUcut8v67M0dtG1SS3teZVF5rj2XsHFHDeX0HFpiXxz/EpYfd2+Ae:QZnbzDJ1bcut8iIOtG7MVlzmzWcd48F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fc8956a65c867e0c |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
32133333330a9228 |
|
VISUAL
wHash
|
dfcbdbcbcbc30000 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
3613133313332b16,00000000c0202020 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.