Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T110C29776A140263B1197C3C97761BB2EA2E3D38DDB4A190752FC875E4BD7E60CD1382A |
|
CONTENT
ssdeep
|
768:NSCy5N7GgdJ5W2Q0LcKAY7sOy2+y9BH4c1Ie:bgHz57sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9363f432dc2c96c5 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
0c49c2c0c9e99d00 |
|
VISUAL
wHash
|
81ef3010240cffff |
|
VISUAL
colorHash
|
39038000400 |
|
VISUAL
cropResistant
|
0080802058d08000,0c494be0c0c9e919 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.