Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F002A63062580E7E7053C7D4F3A17B389DAEE20AEA1F981CF1AC42B6A7C6D58CC57194 |
|
CONTENT
ssdeep
|
192:8vSB4DZuos9xpmq8rwHEq2cCGn9zYWhhBVbWlZLU:8SK1uos/3H5ndYWvBVCfU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b337b64a1eb44949 |
|
VISUAL
aHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
dHash
|
5a5adbdadbdbd8db |
|
VISUAL
wHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
colorHash
|
03007000080 |
|
VISUAL
cropResistant
|
90809c9896968096,1f3fe3f3f979ffff |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.