Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F8E2C73271503A3B4197D2CAB3A1F71AF3E75249E696041192F983BE0BE3D94DA33526 |
|
CONTENT
ssdeep
|
384:OSky5NoaZkI4vvExpTdoGcbUyZ4WRzCDaIYsOy2+y9BH4cUUIe:OSky5NoaCNGaxh7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc18ed06c7a3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
d48cc8c2cacccc00 |
|
VISUAL
wHash
|
0064fc702034ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
0c0080025cd88000,c09ccccac2c8cccc |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)