Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T133435BF9B441F52246B380D760BF1A07737E550F680E48A0E358EADE75F485AB0A7BC9 |
|
CONTENT
ssdeep
|
768:TaT0TQH7YFUxQsIr+ZuOX3SgqjXm+0h4lbR0QtuIVzc+b42NB2jIGrTnzq8QE12e:TaIa9vqjXm+0h4l+GuszQ2N0msQw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f9696596161655c3 |
|
VISUAL
aHash
|
00c181dfffffffe3 |
|
VISUAL
dHash
|
3733331f18323f8e |
|
VISUAL
wHash
|
008181c3ffffff00 |
|
VISUAL
colorHash
|
0f240030000 |
|
VISUAL
cropResistant
|
3333330e1a323f8e,dc37333333133337,802acacaca3a8201 |
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 27 techniques to evade detection by security scanners and make reverse engineering more difficult.