Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T102B3FAED23605AB704D383D27B726B5F37A1D266CA430B40E6FC879C1BE5C69ED22581 |
|
CONTENT
ssdeep
|
1536:IhlQXKJhu/0elMsIZ2O5LfCGWDB+zXCbhbrE82nrbKAlQZ:IHDiIZ2HGWN+s |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c164913f9d8c3f31 |
|
VISUAL
aHash
|
7a7070780000787e |
|
VISUAL
dHash
|
82c0c1e3d54fc0d0 |
|
VISUAL
wHash
|
7e70707898807e7e |
|
VISUAL
colorHash
|
39240006000 |
|
VISUAL
cropResistant
|
82c0c1e3d54fc0d0 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.