Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T154932AB43A59F5665AF3439310AF1503B338562B540E4D20A350FCAE76BCC9BA067FDA |
|
CONTENT
ssdeep
|
1536:uXotYXFfbsQmlo2h2wV9LHd8tVPTMn57Bd0uq++iX8z:KXjUMAL98n0d0++v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
963269696de11ee4 |
|
VISUAL
aHash
|
010f3e1e3018f0f0 |
|
VISUAL
dHash
|
19dcecfc6261c2c3 |
|
VISUAL
wHash
|
010f3e1f383cf8f8 |
|
VISUAL
colorHash
|
32c40002000 |
|
VISUAL
cropResistant
|
e26eb2ae1ab2ae8e,b6d392931336b6b6,19dcecfc6261c2c3 |
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.