Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DDB1EA331904B53F132329C5B6A6BBDF6687F21EC9CB0C0492B883D55BC7DA1D89562A |
|
CONTENT
ssdeep
|
96:PYA0AECjP89Jxm7qAoqo66QGCGf4CNKuDi08:PM9XqvnwgQij |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d7a255aa55a855aa |
|
VISUAL
aHash
|
a5a5e7fffffefffe |
|
VISUAL
dHash
|
4c4d4c3000000102 |
|
VISUAL
wHash
|
242424080c0c0c0c |
|
VISUAL
colorHash
|
07000008c40 |
|
VISUAL
cropResistant
|
4c4d4c3000000102 |
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 21 techniques to evade detection by security scanners and make reverse engineering more difficult.