Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T177D2B4719100273F12ABC3D9F752B71EA2E3824ED785082A53FC836E1FE2E50D923566 |
|
CONTENT
ssdeep
|
768:7SXy5NvFV8ZnLD3UcuwcDZjFzW+JYi7sOy2+y9BH4cLIe:/V8ZnLD3UcGDZBzWri7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfd32d06d8482 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1449e3c3cc4cb200 |
|
VISUAL
wHash
|
80e571300c06ffff |
|
VISUAL
colorHash
|
31000200038 |
|
VISUAL
cropResistant
|
608080106c888000,1449c7e3c3cccc36 |
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.