Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C1F29338D2A0BD7B02A383D8197393E675C7419EC2634368E2F8CB357641DF9DC91AA1 |
|
CONTENT
ssdeep
|
384:3e7OZOr//2mviN2mvaN2mv1N2mvZnIWZ1Y3tuRgK47/78cIH4K9uZ8PV3sHwADAy:C/oYLqtfkZn38T9gO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce4d38bb476331b0 |
|
VISUAL
aHash
|
001838387cbfffff |
|
VISUAL
dHash
|
68f0f0e0e0339595 |
|
VISUAL
wHash
|
00183c387cffdd8d |
|
VISUAL
colorHash
|
38200018040 |
|
VISUAL
cropResistant
|
68f0f0e0e0339595 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.