Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C283533A77041F79EB27CF94B012AB4081BED319D953B06CD7ADA226CBE3897D16C605 |
|
CONTENT
ssdeep
|
768:pr4OoqKjCb6IfRDOqCyC5ZZKCqC3YbeM79RqKjCb6oMOMTMLMnMaM4qKjCb6F+6l:jnf5OfZhc901++6/Xd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c993726464c9e7f0 |
|
VISUAL
aHash
|
003c3c3c00201818 |
|
VISUAL
dHash
|
9679717260493261 |
|
VISUAL
wHash
|
663c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
38200030000 |
|
VISUAL
cropResistant
|
9679717260493261 |
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 189672 techniques to evade detection by security scanners and make reverse engineering more difficult.