Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T145637BB31747092FEE4B91CAFB592A88A1CAA36B82505C45FBE39917DF41E34FC19170 |
|
CONTENT
ssdeep
|
768:9GNrzGNt9Zs+GPTnZwbbQNKh2p+ohCyoxaSrE0X1Xmh2fld1ClthJp0n+ml2mAdt:Ld9dNd9dA14rDWF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec6c9393936c646c |
|
VISUAL
aHash
|
fdd3d393fffffffe |
|
VISUAL
dHash
|
2926262620062280 |
|
VISUAL
wHash
|
90908093ff83f37e |
|
VISUAL
colorHash
|
07002000180 |
|
VISUAL
cropResistant
|
2926262620062280,35f5745c1a1a4c45 |
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 137 techniques to evade detection by security scanners and make reverse engineering more difficult.