Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DC32FD30A391A933856741C6A4716F1B72EBC36FDE5B181087FC83CB1BD9C44EE5689A |
|
CONTENT
ssdeep
|
192:gR9BkQPOXJ91V2YIqdqBBuYiCIMGfpdVCZ9b9O27JQE4XqUh0l+aM+hGqkHxf9k0:GkQOXJ91VYqdqBQYiCIMI67bUsd6zpai |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9504b4ba6a6beb29 |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
edbcc2c336000e2a |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
1b0020001c0 |
|
VISUAL
cropResistant
|
0700040e062b2a2a,cfa4dcf6c2c3722c |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.