Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17C73D732D3452103E05B98C4F2269B4B7312876ACA134FB567E81779DACECF53B62399 |
|
CONTENT
ssdeep
|
1536:A1/xBEcolu7sdV9Rpa2wTpilfdtYdjvMfiTrxk222I2222222i80858/8+88seeN:o57cfffYVLxk222I22222223xekD8x4P |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed3632799993c384 |
|
VISUAL
aHash
|
c3c3f3dbdbfbfbfb |
|
VISUAL
dHash
|
032707b2b2121212 |
|
VISUAL
wHash
|
c181c3dbc3c3c3cb |
|
VISUAL
colorHash
|
06200038000 |
|
VISUAL
cropResistant
|
032707b2b2121212,099964f035272b2b,25654f7747496b23 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.