Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13FA3CB23422965274437C2C0347A5B3BD1A6895FFEE70E014EDCCBFA6AFACA0745E159 |
|
CONTENT
ssdeep
|
768:pJtpR4nXF6YjOpSpFlTC6rr5hOm2euxWSaFnX:pJtpR4nXBKpSpFl26vTOGu8SaFnX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9212ec6c789313ef |
|
VISUAL
aHash
|
00000c0c0000ffff |
|
VISUAL
dHash
|
06ccc9d969622636 |
|
VISUAL
wHash
|
00263f2c1d00ffff |
|
VISUAL
colorHash
|
32402000080 |
|
VISUAL
cropResistant
|
020080e060600042,0200006060600042,020000e060600042,820080c0a0800082,24d82626d6161636,2e85ccc959e92962 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.