Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F4C29771A204173F02A7C3C9B361BB2EA2D3824DD649081653FD879E4BE7E50ED5396A |
|
CONTENT
ssdeep
|
768:wSXy5NpB15zcsiSU1LU1rVAbTRguo+I0e7sOy2+y9BH4c1Ie:Y154siSU1ZbKuoqe7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
976bfc32902dc592 |
|
VISUAL
aHash
|
000000000400ffff |
|
VISUAL
dHash
|
1c4dc3c3cc44e400 |
|
VISUAL
wHash
|
80f571300e00ffff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
008080084c808000,140dc3e3c9ccc4e4 |
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.