Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D0C2A731E0006A37529383D9B372672E91E7434BEB82056553FD83AD1BE7D54EE3386A |
|
CONTENT
ssdeep
|
768:NQepjkktO3X/WapIR8Q4o7sOy2+y9BH4crIe:bkEm45z7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d247dd3a9829bc89 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
98ccc4c8cdcd8300 |
|
VISUAL
wHash
|
0c7430006c65ffff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080800030b08000,18cccce0c8cdcd83 |
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.