Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T135525533F500DD6A4D9B4AECE2C49589445EC305FB31488A71A491FF77C9CF0A6A9BAC |
|
CONTENT
ssdeep
|
192:/kbg2zHqDz9VJNxsKZ5xgWxg7Zxt9eHpE/McnthWeNWb5GP7OlfMmUU8VCov:8bg2zHqf9fIAGP7OlfMmUFCov |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
88dd227722772277 |
|
VISUAL
aHash
|
1818181818180000 |
|
VISUAL
dHash
|
b2b2b2b2b2b2320d |
|
VISUAL
wHash
|
3c1818181c1c1801 |
|
VISUAL
colorHash
|
31200200080 |
|
VISUAL
cropResistant
|
57627a4864545071,b2b2b2b2b2b2320d |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.