Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D12187B35108943D1241C3C057E4336A179F82AFEF061701AAD1037CCDA6A99DC7144D |
|
CONTENT
ssdeep
|
24:h6Oup2AN/+TN/0ACm0Zho1OhGT8duBb7Vbjho2O5CaVyOAvOYfM9G:jup2ANmTNMhmOK1l82iVyQYQG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
94236aa3e9a969b3 |
|
VISUAL
aHash
|
23260e1e1e3e1614 |
|
VISUAL
dHash
|
ceec5c74fcf4ac24 |
|
VISUAL
wHash
|
6b260e3e3e3e3614 |
|
VISUAL
colorHash
|
0ae00000000 |
|
VISUAL
cropResistant
|
ceec5c74fcf4ac24 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.