Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EE225321734C0D7B891384C8D1D2AF39E0DE52D6C90C2118B6FE1BAC5BDAD94F82AD9D |
|
CONTENT
ssdeep
|
192:jPPeZfwYzARfA3mAFEJYOhbBz0KtsPH+e6Z3g8Bg7:jnehNANA2ASuCu+Ii2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b4e64996761907d5 |
|
VISUAL
aHash
|
01f37186961e0d0d |
|
VISUAL
dHash
|
3fa7a73c2c3c399b |
|
VISUAL
wHash
|
01f37187971f0f0d |
|
VISUAL
colorHash
|
11000000078 |
|
VISUAL
cropResistant
|
aa80c0b034f080a2,aa8080aa3ac880a2,b28090868eb080b2,3fa7a73c2c3c399b |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.