Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T104139871D14A1D3FA01B47DCE691F379B2AB9288CE0F870CF27901B62F89DD55876298 |
|
CONTENT
ssdeep
|
768:5P9PR5ozt6DG0AtRO5myKvHdnMmjXEZnXZItZPIZZHZcbZmhZ1JkBTZmN:zRvGTPZx4tmG3wMJkB2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cf9ce6a43065b331 |
|
VISUAL
aHash
|
3e3c381818383024 |
|
VISUAL
dHash
|
d46070f0f060624c |
|
VISUAL
wHash
|
7e3c3c3c3c38307c |
|
VISUAL
colorHash
|
38001c00008 |
|
VISUAL
cropResistant
|
d46070f0f060624c |
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 85 techniques to evade detection by security scanners and make reverse engineering more difficult.