Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10482E77623881B3D5103C3A8FB92F368915D829ED339DA68E6BC1772018BDD9E5277C4 |
|
CONTENT
ssdeep
|
384:Go1uS7OhQf8GoFyEojr8V3sX42NjaNcFK:B1uS7oQf8GoFyEon8V+4kaNcFK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fd69c3a24daa9922 |
|
VISUAL
aHash
|
f8c08890c0fffffe |
|
VISUAL
dHash
|
13121a32160c0c2a |
|
VISUAL
wHash
|
f8c0808080ffeffe |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
13121a32160c0c2a |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.