Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14CA3AB23421975274437C2C134AA6B3BE1A68D5FFAE70D014EDCC7FA6AF9CA0741B51A |
|
CONTENT
ssdeep
|
768:J44KtpR4nXF6YjOpSpFlTC6rrTG4g51d0ysWUuQjX:J44KtpR4nXBKpSpFl26v+1S5WUNX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9212ec6dfa124bcd |
|
VISUAL
aHash
|
00002c0c0000ffff |
|
VISUAL
dHash
|
0ee4e9d969666424 |
|
VISUAL
wHash
|
00243f3c2c10ffff |
|
VISUAL
colorHash
|
3a402000080 |
|
VISUAL
cropResistant
|
000080e060600040,0000006060600040,000020e060600040,0000a0c0a0a00000,6202d8242616e696,2ec5ece959696566 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.