Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T164426133B200DD254A9B55CCF2C49A895019C346FB3188CA72A492FF7BC5DF066A979D |
|
CONTENT
ssdeep
|
192:4NsIXd+mEuBlQ9nx1McnthWeNWbJ9RfMmUU8VCozZ:q+mEuBl5LfMmUFCozZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99d922778add2255 |
|
VISUAL
aHash
|
1c1c1c1c18000000 |
|
VISUAL
dHash
|
b2b2b2b2b2552001 |
|
VISUAL
wHash
|
3c3c3c3c3c180001 |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
aa8e9660c6a29e96,b2b2b2b2b2552001 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.