Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T109E185904804641B121645CA7797AA4A35C3E381CB76185066DD83BF6EEFAF0ECBF3D6 |
|
CONTENT
ssdeep
|
96:T84T4Xs0gusJsgYixFj3IXs4pHuxFduzFV08yR37xF2z3NgGioJYfoLQu:ARo7YIN4bJsTUXQ3dQz3NhR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0303447cfcb7359 |
|
VISUAL
aHash
|
00c3c3ffffe7ffff |
|
VISUAL
dHash
|
1e1e9e1e1c4d0800 |
|
VISUAL
wHash
|
00c3c0c0c3e3e3fb |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
1e1e9e1e1c4d0800,0000804040404040,2fd7e6f6d4f7f686 |
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.
Pages with identical visual appearance (based on perceptual hash)
Found 1 other scan for this domain