Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E5E34621C6A41733D10A07CED3AB775622AAC2C7CC5278E8F16082759BBEC8D5D77DA1 |
|
CONTENT
ssdeep
|
3072:2sy/whzG2HZX/KJrjylK2E6IOZuagKI3ImJS2QMIYLQICeIkPksuGIyIhuBn1vZW:f/KNQ5Ixf3Npo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed16bd926a934634 |
|
VISUAL
aHash
|
ffe0000000f1fbfb |
|
VISUAL
dHash
|
2f22624345e31293 |
|
VISUAL
wHash
|
fff0200000f1fbfb |
|
VISUAL
colorHash
|
06e00008000 |
|
VISUAL
cropResistant
|
2b22634345e31293,00020c0c0c0c0304,9696969311531b59,8202020606060606,9f8d0d8c8f232260 |
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 36 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)