Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DBC28631B1006B3B12A783CDB761A31FA2E3424EDA870555A3FC87AD4BD7DA4DE23419 |
|
CONTENT
ssdeep
|
384:PSkZLRK00BnAW/3/YOjOpZSM+MCZWtbRGPGYF4gIYsOy2+y9BH4cCUIe:PSkZLRsr6MJuQ+YD7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c322bc6dc54696ba |
|
VISUAL
aHash
|
000000200000ffff |
|
VISUAL
dHash
|
ccccccccc8c8cc00 |
|
VISUAL
wHash
|
00002e747878ffff |
|
VISUAL
colorHash
|
3a000000430 |
|
VISUAL
cropResistant
|
0080800458988000,ccd2ccccc0c8c8cc |
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.
Pages with identical visual appearance (based on perceptual hash)