Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10B23D60290C8373D4AC05B57FA245F7F67BA617C835A67EC648ECB6F4C8A84D443A9C6 |
|
CONTENT
ssdeep
|
1536:LII/3tR9rqjfdBWBJDW7El3u6roKf5LMhydWQylkcPgMq12Y:J3tRt4fdBWBJDW7El3u60Kf5LMhydWXQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c69639383dc4c7c6 |
|
VISUAL
aHash
|
062c343c04007878 |
|
VISUAL
dHash
|
b4e96ded69d0d0d0 |
|
VISUAL
wHash
|
5e3c7c7c0c587878 |
|
VISUAL
colorHash
|
38200000e00 |
|
VISUAL
cropResistant
|
9220184d4c582182,b4e96ded69d0d0d0 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.