Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A17286B170806D3782A3A2D5E735A32BA3C284C7EB834B6117F9C74E86C5F65EC32456 |
|
CONTENT
ssdeep
|
384:LY5IIozmnFNl1hMtq8un/c+Z5m1/vZpaAx:LY5IIJ9v9/Z5mZvL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3863c393c75c71c |
|
VISUAL
aHash
|
007d7c642c6c2020 |
|
VISUAL
dHash
|
ddc9c9c8c8c848c2 |
|
VISUAL
wHash
|
007d7f6c7cece060 |
|
VISUAL
colorHash
|
38000e00008 |
|
VISUAL
cropResistant
|
ddc9c9c8c8c848c2 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.