Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T110A35CF4B5C4FE2201F380D3F057AA47F37A151AF6994460AAC8C6D673EAC6602772E5 |
|
CONTENT
ssdeep
|
1536:NkvGC7Rx8i6biNoHbSMJkUoIDGQpjBRzQ2N0msQw:NkDRUiIHpBrVw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9696a46d6561b596 |
|
VISUAL
aHash
|
003c3c003c3c3c7e |
|
VISUAL
dHash
|
ec696dc8e0c0e8e2 |
|
VISUAL
wHash
|
163c3c203c7c3c7f |
|
VISUAL
colorHash
|
30201040001 |
|
VISUAL
cropResistant
|
64c2c9c9656652d8,ccfcbbaf267156f2,ec696dc8e0c0e8e2 |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.