Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1071148604046CD27C993E2E8A7B64A0BA3D5C300CA8B1A0057E8C7EE0EEBD95DC5A4A4 |
|
CONTENT
ssdeep
|
12:nwMy7FUUyidhzMFQ9SCcfpqdNHN3KW9rdBbiVQBYE:n/CxdYflBm3WVQBYE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea99a295cdd8b234 |
|
VISUAL
aHash
|
ffe3e5f9b0a1e0e0 |
|
VISUAL
dHash
|
e54f0b33634d4d4d |
|
VISUAL
wHash
|
ffa5a5f8b0a0e0e0 |
|
VISUAL
colorHash
|
06600040001 |
|
VISUAL
cropResistant
|
e54f0b33634d4d4d,3060e0e0e0c0c0e0,094911c661666e6c,22266e97968a8b5b,1d2d4e7471210953 |
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 194 techniques to evade detection by security scanners and make reverse engineering more difficult.