Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B342DD304889AABB02D3F0C4E670BE57B2D1D30AD5660782A7FA931E1EC5D41CDEB974 |
|
CONTENT
ssdeep
|
96:U1suA1ESIWo9sjDV8DnTMQJbaSsBw6Hb84tPZew65Xwa+aHPAHoEH24IMcEaObm:nE5qsOfQXPhIgRb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1312961cbcacece |
|
VISUAL
aHash
|
c1c3c7ffc3e7ffff |
|
VISUAL
dHash
|
1b96161a16161a1a |
|
VISUAL
wHash
|
81c3c3c3c3c3c3cf |
|
VISUAL
colorHash
|
07400030000 |
|
VISUAL
cropResistant
|
1b96161a16161a1a,3f2f2f2f0f6d6d6f |
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)