Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T109C2637260006E3B42E3C3CA7791B72EA693C24EEA461A0557FD835D4FE7E50DE13529 |
|
CONTENT
ssdeep
|
768:E0y5NOAhSq8UDBl7u1Z7sOy2+y9BH4cLIe:ih7RE7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ac5c7926d9838 |
|
VISUAL
aHash
|
3f038f8fcff3d1fe |
|
VISUAL
dHash
|
e3b63c3c3c361290 |
|
VISUAL
wHash
|
3b030f8f87d0c0fe |
|
VISUAL
colorHash
|
07006000018 |
|
VISUAL
cropResistant
|
e3b63c3c3c361290 |
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.