Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CEF2773161007A3B419B93CDB7A2E32F92E39309E94B094592FDD35D5BE3C90EE23959 |
|
CONTENT
ssdeep
|
768:F5y5Nv4aS4wT4AjWIPR8CyT37sOy2+y9BH4c1Ie:NaDS4bQR8CC7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc38c5c7926c3cb8 |
|
VISUAL
aHash
|
3b1f838fcfd1f0fe |
|
VISUAL
dHash
|
e2b6363c1d062298 |
|
VISUAL
wHash
|
3b0f038787c0f0fe |
|
VISUAL
colorHash
|
070060000c0 |
|
VISUAL
cropResistant
|
e2b6363c1d062298 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.