Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11BA32A3151840A3B766343C5FF51FB3761FC24FCEA698020A89EB36952C5DE5A53AAC8 |
|
CONTENT
ssdeep
|
768:PExS0P3uIIP3MeCn/ALG6k2dc2fzi/6Hc6dWPNMW1W410Bxrg:e4LJfmiHcSYMw1QK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2c32c2d2901be7f |
|
VISUAL
aHash
|
30fcfe7e80cc0000 |
|
VISUAL
dHash
|
43c4c8c82414c9c0 |
|
VISUAL
wHash
|
f87efe7e80fc2000 |
|
VISUAL
colorHash
|
38007000000 |
|
VISUAL
cropResistant
|
ccceca8a888e8c88,43c4c8c82414c9c0 |
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 62 techniques to evade detection by security scanners and make reverse engineering more difficult.