Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C5C2A531B1007A3B519383C9B761E76BE2E3428ADB87055892FC83AD47E7C64DE2745A |
|
CONTENT
ssdeep
|
768:jSkZI5ea3ziy0hwEy6Y+7sOy2+y9BH4crIe:6R0h8Y7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c332bc6dc54392ba |
|
VISUAL
aHash
|
000004200000ffff |
|
VISUAL
dHash
|
c48cc8c8c0e0c000 |
|
VISUAL
wHash
|
00002c7c7878ffff |
|
VISUAL
colorHash
|
3a000000038 |
|
VISUAL
cropResistant
|
0080800458988000,c4d2ccc8c4c8c0c0 |
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.