Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T103D185362A08383B566389A7B6603F5F76DFE34FC9930805A2F886694FD6D95CE01731 |
|
CONTENT
ssdeep
|
96:PEtjCNnhDBntnXv+3qaWxKP1lcM39vLpeyx4vT5hKHN:PUCVt+Xco4MDCT5hI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b309cccc66e662 |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
08104c0c30027010 |
|
VISUAL
wHash
|
ffffe7ff00000000 |
|
VISUAL
colorHash
|
0f0000001c0 |
|
VISUAL
cropResistant
|
0848104c08100000,000000e8f0000000 |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portugués | Inglés | Trigger |
|---|---|---|---|
Pages with identical visual appearance (based on perceptual hash)