Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12E2282337184C6264FEB81FEEBC5B7BE269E9249F730859254E4410F67C0DE824627AD |
|
CONTENT
ssdeep
|
192:bs6QsRs/da3zJaidultIwfGmg9SAiUKfMmUU8VCoFw:bsFsRsFaDQiMltEabZfMmUFCoFw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
badf98d180c7ec12 |
|
VISUAL
aHash
|
ff81818181e3e7c1 |
|
VISUAL
dHash
|
02314d4d0f0f4d0f |
|
VISUAL
wHash
|
ff81818181e7e7c3 |
|
VISUAL
colorHash
|
0e000007000 |
|
VISUAL
cropResistant
|
02314d4d0f0f4d0f |
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.