Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10ED30021CAA41322D20A078DD7EB765522AAC2C7CD92B8F8F0708574D77ED8D1D77DA2 |
|
CONTENT
ssdeep
|
3072:LVdbrjylK2E6IOZuagKI3ImJS20gIYLQICeIkPksuGIyIhuBnvw57x:LVdfQ5IZf3NsD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
84e1928ab5d8bebc |
|
VISUAL
aHash
|
ff60303a3f3d1c0e |
|
VISUAL
dHash
|
c1c4e6f2f279f8fc |
|
VISUAL
wHash
|
ff70303a3f1c1c0e |
|
VISUAL
colorHash
|
01600030000 |
|
VISUAL
cropResistant
|
c1c4e6f2f279f8fc,80c0c0e0d0c8e0fc,e2e0bcbe6d6fdfde,8329390d090c8d8d,a53333190c8d8551 |
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 29 techniques to evade detection by security scanners and make reverse engineering more difficult.