Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14F63E871E065223F068393E9B7383B5962E2938ED9920251E6F9875C2FC3CA0FD065D6 |
|
CONTENT
ssdeep
|
384:bYmdR+VJBwkTQfZU6qeVeoMa2oUWOdwqWOdzWOdOWOdTqWOdSWOdtWOdwqWOdzW2:kUR2JBwk0V5MaxHNofvjlIKF2v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3bc833cc3ccc0cf |
|
VISUAL
aHash
|
ff0178702000207c |
|
VISUAL
dHash
|
331bc2c5c93569c8 |
|
VISUAL
wHash
|
ffff78707000286c |
|
VISUAL
colorHash
|
38200038040 |
|
VISUAL
cropResistant
|
2cd8793a38786563,331bc2c5c93569c8 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.