Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1412433785152167A01572DE0B8B1EB5FA3A6D748CEBBD94C73EC42E227CFCD48C952A0 |
|
CONTENT
ssdeep
|
3072:ExBXWJgk0ckzHvCNUSQ46PwXikyU1XOEKwKhGxC0bffO+tzdU7OhiP2DJz1V0lPn:0J |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9666ce618d353939 |
|
VISUAL
aHash
|
303c043600003c3c |
|
VISUAL
dHash
|
666d6c6652d2f870 |
|
VISUAL
wHash
|
b63c243e0a2e3e3e |
|
VISUAL
colorHash
|
00006000000 |
|
VISUAL
cropResistant
|
2929d4806ad49494,24e4f0d2d2b2e29c,66e9e9eaf82922aa,666d6c6652d2f870 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.