Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16312C0736489D577A15240C9DB60ABDE7092731B874158D99FEC23CAE2C7DE1DC322B8 |
|
CONTENT
ssdeep
|
96:rVE1nz3h5hqD0sUqTKIxY4HRrG7eVnSa1qPof:rSV5C0pqT1frqeVnS6Zf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9bcc98e4b3a49ac6 |
|
VISUAL
aHash
|
ff3c3c2c2000000c |
|
VISUAL
dHash
|
b271696949606949 |
|
VISUAL
wHash
|
ff7c3c3c2c38242c |
|
VISUAL
colorHash
|
01006000000 |
|
VISUAL
cropResistant
|
3bb2b6a6aad8c4ec,0aae8e88d8a68fd0,8aa88a8b83a9e963,b271696949606949 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.