Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14B03733DA2519D3B44A7D2E5E3A5632A22D6D78AC942130083FCC77D0EEAD98FD22574 |
|
CONTENT
ssdeep
|
768:FnarxtMOzIuQYQObwu3bbeGk3ghcAHXhb:FNOzIuQYQMcWV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ccd6333cc4b69664 |
|
VISUAL
aHash
|
76787c7878180000 |
|
VISUAL
dHash
|
d4c0c4d4f2b2bad3 |
|
VISUAL
wHash
|
7ef8fc7a7a1a0201 |
|
VISUAL
colorHash
|
30000200030 |
|
VISUAL
cropResistant
|
d4c0c4d4f2b2bad3 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.