Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1907217AEA22110A740AFD8E0A4347F5A31AFE30EC70A9D24AEFC51595FD7C71B8155BC |
|
CONTENT
ssdeep
|
384:0970vp9xMyMDM1MvM7MaNPqQ82482H82M82bTcDV2F7Ls:0qhdVo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c4a639d2c639d99 |
|
VISUAL
aHash
|
10181c181e1e0000 |
|
VISUAL
dHash
|
b63030b332309730 |
|
VISUAL
wHash
|
7a1e1e1f1f1f1818 |
|
VISUAL
colorHash
|
31048003200 |
|
VISUAL
cropResistant
|
aaaed24d4df6beba,b63030b332309730 |
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 190 techniques to evade detection by security scanners and make reverse engineering more difficult.