Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BDE2B6319009B83F06A762D1E7B5B36A22C5438DD907076A42FE8B4C5FDBC90ED678D9 |
|
CONTENT
ssdeep
|
768:/II9wuBTIIIIIop8L3yx1l34TvDi8tRfUhFsyn:/II9BIIIIIop8ex1l34r9bfUhWo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
87e37d1c1961c6c6 |
|
VISUAL
aHash
|
00c1f7ef7f3c1818 |
|
VISUAL
dHash
|
c78fcfdbf5e1f0f0 |
|
VISUAL
wHash
|
00c1f7ef7f3c1818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ce9d888c0c,0000606168640000,c78fcfdbf5e1f0f0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.