Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13531653054288F7344C2D9D866E5760E37C5D501CE1B16056FF89F6C5BEBE06CD521A0 |
|
CONTENT
ssdeep
|
24:hR6t2HWCMs1QqBlEsR+rUhgShW3NZtp7Hht1P0/G9/omMigs6:Tg4N1QqosRvDcPV8momY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e696e0694be8e80f |
|
VISUAL
aHash
|
f0f0f0f0f0f0f0f0 |
|
VISUAL
dHash
|
2624646667272727 |
|
VISUAL
wHash
|
f0f0f0f0f0f0f0f0 |
|
VISUAL
colorHash
|
0e000000038 |
|
VISUAL
cropResistant
|
002c1e3634002000,f9f37879fdff7f7f |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.