Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CFD2C872B144AA7E128B87F9FB40B7BD5166D14EC9678175E3EE037182C3DD1E8212E8 |
|
CONTENT
ssdeep
|
768:SJK9A9xznOEKgyD1D9LJcQ/8AMxx7nca04SMc:SJKfEKg61D1Jf/8zjo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a94bc9e2389dc5c6 |
|
VISUAL
aHash
|
f900000001ffffff |
|
VISUAL
dHash
|
33e9e2b4a5082633 |
|
VISUAL
wHash
|
f900000005ffffff |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
2402232b2b0365c3,2b0c0d002626233b,0000243232322000,eb91e9f2f21ab5ad |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.