Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T173A100A4D4399672417786C960EA571671D0D39CC68B0344A7EE43B947DFEF4FC0886B |
|
CONTENT
ssdeep
|
96:TiuUa0bSMS+ie5bhugTAw0V+UWCgMRqVLRkNpoNlPXzpoYvNj:LU1GFwQoAw0fo9kNpoNLlt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc669b333331c6 |
|
VISUAL
aHash
|
1038381818381818 |
|
VISUAL
dHash
|
2420203032322030 |
|
VISUAL
wHash
|
383c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
38007000000 |
|
VISUAL
cropResistant
|
2420203032322030 |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.