Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D75222A29019A53B126387EDB3B5A746FB818089CDD3414FD1FAE35C2FE2D71ED16212 |
|
CONTENT
ssdeep
|
384:KFC9RwT7T94wNgcrs1EfyZxQpU7dGIBtS:Fk94wNgcrs1EKZxiU7TS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fe5e6961a11e1e84 |
|
VISUAL
aHash
|
80809c9cffffffff |
|
VISUAL
dHash
|
2030343438202024 |
|
VISUAL
wHash
|
80808c9cfef0f0f0 |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
2030343438202024 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.