Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14AB39432830D060DF3578CA0F163F74B7741825EC24E9178BED521AAE8CE5A65AB67DC |
|
CONTENT
ssdeep
|
1536:EHZUmwxTtlgwOZx2XVKdJ3N2XVKdJ392HZUm2fX:JTAzfX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c247b932b96d30ec |
|
VISUAL
aHash
|
003030000000ffff |
|
VISUAL
dHash
|
c8c4c4ccccccc53a |
|
VISUAL
wHash
|
007c7c740006ffff |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
3e1ed97876c98736,85075119015525ad,00000a60f0500400,00402c2c4c1a3a3a,dcc1c4c4cccccccc |
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 5864 techniques to evade detection by security scanners and make reverse engineering more difficult.