Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T102E20A3171203A3B5197D3CEF3A2F75AE2E34249EB460515A2F983AC1BE3C54DA3351A |
|
CONTENT
ssdeep
|
768:uSky5NrYH4ttWhkAs/k4LNx7sOy2+y9BH4crIe:LC0j7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c361bc1eed24c1b3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
84c8c8c2cacccc00 |
|
VISUAL
wHash
|
0064ec706034ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
088080024c888000,c488c8c2c2c8cccc |
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.