Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T149C2C731A0046B3B01D792C973A1972BB2E3434AEB97051652FD83AC4BF7D94EE3355A |
|
CONTENT
ssdeep
|
384:gSby5NWomI/p+x/Mi855q4LCUcJoBtf4VIluIYsOy2+y9BH4cUUIe:gSby5NWIA4OnqGf7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d265fc32cd1c90e9 |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
8ccccce8c8cc3c00 |
|
VISUAL
wHash
|
40fe6020006effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca714d9e9e714596,1080800458988000,9cccccc8e8c9cc3c |
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.