Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116021DF1D040ED3A075286C9ABB66B4F7691C345CB07094497F893ABAFDAC60CB22599 |
|
CONTENT
ssdeep
|
192:Qh5Zx8z4SZ98iIatGyD0mzpYr616MU7N1:Qh5Zch91FtGS1I6IMeN1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b34bac64ce8c2c |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
0c0c0e080e006802 |
|
VISUAL
wHash
|
e1e7e7e781ff0000 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
0c0a0c0e080e1640,c7c3c3c3c3696969,0000000000000000 |
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.