Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F5E2CB72B1106B3F01A392CAB250E75E63E3834ED34A041652FD876D4BE3D51EE2776A |
|
CONTENT
ssdeep
|
768:LQe3n8gWQRqVQBQpH+uLqD87sOy2+y9BH4crIe:Hn8AkXwg7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d341f83abd6992c1 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
98ccc4cacc0cc300 |
|
VISUAL
wHash
|
006470381e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04324c4d4c4c3204,0080800058988000,988cc4c0e8cc3cc3 |
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.