Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1503252F0E460EC3B1753C1E677B57B1F7665C249CB030A5863F493AE1BC9CA08A2299D |
|
CONTENT
ssdeep
|
192:7oUuTZlZlZzanz4cV8i4rOB8XRSMj/5zSEqMSRG9/Pp+aN28F:7oZzzzazb1sOUSMlznLh9Z328F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ef6e987819870372 |
|
VISUAL
aHash
|
0000200000ffffff |
|
VISUAL
dHash
|
2b234f6b2ac338d7 |
|
VISUAL
wHash
|
80b1212000ffffff |
|
VISUAL
colorHash
|
16206000000 |
|
VISUAL
cropResistant
|
b080a0a0a0a080b4,62008080808000cc,33363f9b1337d7d7,3b2b674f4b7a2b43 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.