Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11DC28432A0106B3B52D393C9B3617B6EA2D3C24ECA8A194546FC474E4FE7E51CE17926 |
|
CONTENT
ssdeep
|
384:x0y5NZI3V0iswb9NI2hufIBA0gocaTuqx4caIYsOy2+y9BH4ciUIe:x0y5NZIl0MdJne7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ac5c79368989a |
|
VISUAL
aHash
|
3f038f8fcff3d1fe |
|
VISUAL
dHash
|
e7b63c3c1c361290 |
|
VISUAL
wHash
|
1f030f878fd0c0fe |
|
VISUAL
colorHash
|
07006000010 |
|
VISUAL
cropResistant
|
e7b63c3c1c361290 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.