Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T133A213B0728C5C3ED544868DE3197ABB724A45DDDF078700A6E4532E2CD2DE7DDBA248 |
|
CONTENT
ssdeep
|
384:LIIIGBjGnLFgXMtSiJNKynqO6WFFT2vFQfqrVwIqPc0:LIIIbTNKynqO6WFaQfoAd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecd3916c13936c96 |
|
VISUAL
aHash
|
feffd1c18191ffff |
|
VISUAL
dHash
|
e000232b2b2780e2 |
|
VISUAL
wHash
|
7cfc908081817f7f |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
e000232b2b2780e2,9209d6dada25c000 |
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 52 techniques to evade detection by security scanners and make reverse engineering more difficult.