Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T178A25431B105BC1A81838ACF9530D71DB349E71ECE0707D2F2E027BA57D6CA1ADBA598 |
|
CONTENT
ssdeep
|
384:AqpbgdaKYtNjmtrCMHmboZ+2/nb6+21KanB+K+V+f2Q22eQT:AqBgdaKmjmtjHmUj6lfnr+V+LT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d849a2758ccd6787 |
|
VISUAL
aHash
|
00003c181800ffff |
|
VISUAL
dHash
|
049cc832320c1455 |
|
VISUAL
wHash
|
00407e18dac0ffff |
|
VISUAL
colorHash
|
38e00000000 |
|
VISUAL
cropResistant
|
00408bd4ccd05228,049cc832320c1455 |
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 193 techniques to evade detection by security scanners and make reverse engineering more difficult.