Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12903DE709012693B4163A1C5E771675FB3C19389CB134B0AA3FC932A9FCBDA1DC366A5 |
|
CONTENT
ssdeep
|
768:2M2HcCM1rlQtahrYZ3dtWRrSSSSSSSSSSCG:2BHcriOa+RrSSSSSSSSSSCG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee4891950fbeb0ca |
|
VISUAL
aHash
|
ff00f19130ffffff |
|
VISUAL
dHash
|
2ac32163639c0c0b |
|
VISUAL
wHash
|
ff00800000fff7ff |
|
VISUAL
colorHash
|
0e001210000 |
|
VISUAL
cropResistant
|
23aad36121336363,e8eeebe3e1e8eee9,04000c0c004d0823,0505050515290d46,d363213133634363 |
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 62 techniques to evade detection by security scanners and make reverse engineering more difficult.