Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CA739A6872209867253BC5D475ABFFEB228AA30FCB1E451013ECA3525FF7EB07195464 |
|
CONTENT
ssdeep
|
384:CDE3ACzEV/4RGqfYTDQRtDK3Aj6YPJeNK5QVSNyzlWLtvIqIUfB7oIJAmR:msEV/5eSkUQmc0k5QENyzlyoYR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
89b3dd9926666626 |
|
VISUAL
aHash
|
1818101818181818 |
|
VISUAL
dHash
|
32b2b031b3b2b2b2 |
|
VISUAL
wHash
|
ffffba1819181818 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
e8d8d898e0e1d9c0,32b2b031b3b2b2b2 |
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 70 techniques to evade detection by security scanners and make reverse engineering more difficult.