Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17FD28935B2106A3B41E3D1DA72A1672B62E3434FE7460511A3FD83AD1BE7E14EF27219 |
|
CONTENT
ssdeep
|
768:XmeA/DMU35LI5viyR77sOy2+y9BH4c1Ie:+rxs5qyR77sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d607b438ad34e5c6 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
94ccccc8c88c8c00 |
|
VISUAL
wHash
|
067c74207004ffff |
|
VISUAL
colorHash
|
31010001600 |
|
VISUAL
cropResistant
|
0880880458988000,94ccccc0c8d0888c |
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.