Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T138A396717A46143A25BB83DFD2172A0D61C5E3CBC2815ED9B3F092698FF1EA0FD91291 |
|
CONTENT
ssdeep
|
768:jDHzRTr1L5R07qrwot+4E1L34CWwhxQYt6Yw/Xtc9WI9Z0B7cEEI:bRTJLfMqrwoo4E1ECWwhxQYteISEI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f08ff0ad92e097e0 |
|
VISUAL
aHash
|
ff0000000000c0fc |
|
VISUAL
dHash
|
636222a065328314 |
|
VISUAL
wHash
|
ff30f81810d8f0fc |
|
VISUAL
colorHash
|
0600b001000 |
|
VISUAL
cropResistant
|
0004296363690040,81818282921a124c,6121e0a566928714 |
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 716 techniques to evade detection by security scanners and make reverse engineering more difficult.