Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CD2288B10029E8376513A3C4F5547705D2C3910ECB59CADAA6E4837C9FF5EE0B8A2B5A |
|
CONTENT
ssdeep
|
96:PmeC0Pc4IMXNJxvxzOGsyjnXKESTmd6k6hAy7hRBUtHv4lgYXC7Q7jobPuoo:PmWPlIQJxvxzOGsQXQ5k6hAy7hEH+oS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ca4a4391b1776e66 |
|
VISUAL
aHash
|
000000ffffffffff |
|
VISUAL
dHash
|
d1e1652500310020 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06001000180 |
|
VISUAL
cropResistant
|
6500203030000020,d1d1f3c1e1616565 |
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 943 techniques to evade detection by security scanners and make reverse engineering more difficult.