Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T145133330514A593B99E7D3D6A3286B8AF1C5C397C2121E4CB3F5CB1E9FD2E24EC25261 |
|
CONTENT
ssdeep
|
768:1Z449KRqCOezUwWNNPuR8QijSiGKH+K0PjLiKOF:j449Kz/WNNmi+jrOF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c39a3aca99bcc33 |
|
VISUAL
aHash
|
0100001818ffffff |
|
VISUAL
dHash
|
3b0661f0b2a458a2 |
|
VISUAL
wHash
|
000000187effffff |
|
VISUAL
colorHash
|
18030000400 |
|
VISUAL
cropResistant
|
8080c29c2cb280a0,4040404001454082,3b0661f0b2a458a2 |
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 188 techniques to evade detection by security scanners and make reverse engineering more difficult.