Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E403B7B2E185393B02760982D35FF39C635141C78B91AA1794FA0348B7DBFD5AA232F5 |
|
CONTENT
ssdeep
|
768:bvKES1QmuJ2OttwOLcHYII7Wy2NAc5H56NT:OKmukO3QHYlCy2gT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8ca68399ace6378 |
|
VISUAL
aHash
|
dfffffffc3c3c3c3 |
|
VISUAL
dHash
|
111e96b49e96969e |
|
VISUAL
wHash
|
81c3c3cfc3c3c3c3 |
|
VISUAL
colorHash
|
07443000000 |
|
VISUAL
cropResistant
|
111e96b49e96969e,63e3e1c0c45c36f6,b03099b373d5dcb3 |
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 190 techniques to evade detection by security scanners and make reverse engineering more difficult.