Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11FA37833411935274437C6D530A95B3BE2E69D4FFDA70A010EECD7EA6BFACA0744A11A |
|
CONTENT
ssdeep
|
768:EuwQ1Ky5N31x9+1bnM+sKPBQhFuGLz4NP3+mZY9svblTOCVroJWqfeOVZZfGKIQk:JLz4NP/y9svbliCdC4I0FtSuCa2YG2AY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c377fc389c2dc103 |
|
VISUAL
aHash
|
00002000000000ff |
|
VISUAL
dHash
|
044ccec2c8cdc398 |
|
VISUAL
wHash
|
c0fef6302c2013ff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
000080815a1a8090,840cccc6c8c8c523 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.