Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16D0241F1E050ED37071785C5A7BA7B2B77A1C349CB430A5063F893AE6BCADA0CB11499 |
|
CONTENT
ssdeep
|
192:QlCACongknzD715lt8iIGwyVCE7BYMlCkkLPtzkq48F:QlCACRkznf1ZweCE7CMlCkkbSq48F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8b95ec646c63991 |
|
VISUAL
aHash
|
dfcfcfcfffffff00 |
|
VISUAL
dHash
|
9a9e9a9606180020 |
|
VISUAL
wHash
|
c0c0c0c0f3ffff00 |
|
VISUAL
colorHash
|
07c000000c0 |
|
VISUAL
cropResistant
|
3a9e9a9606180000,b1309a9a890d9995,00c0202020202020 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.