Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F822D7B11120467F15434AF4F150BF66B19EE31CDE5BF86CB2ACC2712BEACA4C98E550 |
|
CONTENT
ssdeep
|
192:tA5AMAvA3AgAnAyZu5gZSBrgLgMqMmSJB+36QiNJQRb+Qra9lAnlAt3LsrNY:KKzoQHA8u5gZSBgsNUJ4UNMb5+tAry |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6e2e01f1f69e096 |
|
VISUAL
aHash
|
f0f0f0f0f0f0f0f0 |
|
VISUAL
dHash
|
2524e465646425a5 |
|
VISUAL
wHash
|
f0f0f0f0f0f0f0f0 |
|
VISUAL
colorHash
|
1b000400030 |
|
VISUAL
cropResistant
|
0002d83d1c1d2340,1c62614d69711204 |
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 41 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)