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
|
ef2994b483b4b40f |
|
VISUAL
aHash
|
f1f1f1f1f0f0f0f8 |
|
VISUAL
dHash
|
0763636363272000 |
|
VISUAL
wHash
|
f1f1b0f0b0f0f0f0 |
|
VISUAL
colorHash
|
07000000030 |
|
VISUAL
cropResistant
|
0763636363272000,416111ccc4364951,ea8e627248a6fa02 |
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.