Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B323B62281144DF32457F3DCFB385B2772859648DF0A07C9EAFAC72866D6C76AC72291 |
|
CONTENT
ssdeep
|
768:3tPeFQKMDKHXZuMuZS570bgZu+D0IgtsPQe40OgX+i0fggRK101ghZb0nr0Be+Z:30FQKMDKHXcMuZS570bgZu+D0IgtsPQk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ef903e924d6a94b2 |
|
VISUAL
aHash
|
fffffff1ffff8181 |
|
VISUAL
dHash
|
29353363631b2b23 |
|
VISUAL
wHash
|
9f8f9fb1bb818180 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
29353363631b2b23,000824b2b2321000,010103d0e84d0101,0469e152546aa26a |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.