Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T109D3041167F1963B162B8AF189D6CB7632C1514FFA6209C26BFC27683FDBCA17532406 |
|
CONTENT
ssdeep
|
768:+fz+uTM5ndNkMPXlkf9jUj/eYae5t0CRXqJKJc44J8wF:w+iM5ndCljM/eYae5xdcXJvF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a067f83cd562d781 |
|
VISUAL
aHash
|
000020200001ffff |
|
VISUAL
dHash
|
86ffcfc7df2fabd4 |
|
VISUAL
wHash
|
020161730387ffff |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
bdb5cb56568a9a9a,2cafabab95ccec30,86ffcfc7cf6eaba9 |
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 62 techniques to evade detection by security scanners and make reverse engineering more difficult.