Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C0532131B541E92B51DF99C4A232576A72E64704C65306C9FAF4C7B81BEFC6ECA33604 |
|
CONTENT
ssdeep
|
1536:xJsIxF5YFQGI2RDLZLhEZDjdEhxEDj4LhE4C9N/yJTHDzEkr79F:3Gs2EjvjkJTUkr7T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f98bce74c3202e39 |
|
VISUAL
aHash
|
fdcdc9c9c8c0c0c0 |
|
VISUAL
dHash
|
49391b9b1a141d15 |
|
VISUAL
wHash
|
fdfdc9cbc8c0c0c0 |
|
VISUAL
colorHash
|
0b2022000c0 |
|
VISUAL
cropResistant
|
e561e1e360a4d644,eeceb2b2b6feba36,f3e723d1f0fbfeff,9333333332353535 |
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 87 techniques to evade detection by security scanners and make reverse engineering more difficult.