Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T194E394D56628438CA057CABCFB2FFE05130FB69ABA558580298EC16C96CF8E1F71751C |
|
CONTENT
ssdeep
|
1536:AR0RQ7HSI6fOJxmeoZ2DUJOB8J5FlFbJrrtFsR8MLqcUWFsR8MLqcMv:M0RQ7HJrJseoPJtJXJrs6m |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc4c4ce65c5ccc5e |
|
VISUAL
aHash
|
18001000ffff0018 |
|
VISUAL
dHash
|
3010301048801210 |
|
VISUAL
wHash
|
18383c1800ff3eff |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
0000000000000000,3230302830100800,0080420608101008 |
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 83 techniques to evade detection by security scanners and make reverse engineering more difficult.