Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B55254B1C4CA2C3B714FC2D575B06F166282834CCB021A55A6F8535B7BEECA0F94E56E |
|
CONTENT
ssdeep
|
384:91WdmVHQjKs5QEkyadihlqh+bcJVXPTpEZSQxea:9Pwx5QgKmv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3c3c3c383c3c1c |
|
VISUAL
aHash
|
00e7bdbdbde7e7ff |
|
VISUAL
dHash
|
3b482868684c0c10 |
|
VISUAL
wHash
|
0064373ffcc0f0f0 |
|
VISUAL
colorHash
|
07000008006 |
|
VISUAL
cropResistant
|
3b492868684c0c10,30b43032323233b3 |
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 12070 techniques to evade detection by security scanners and make reverse engineering more difficult.