Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17391D7E50081EAAE80D2D2D5D7B75B3611E6C12CEA874184D7EC9BED16CAC58FF318A4 |
|
CONTENT
ssdeep
|
96:MuqCVdkoxBOTXkxYJPN3M+tmhTyjks34Wu:yCVGwyqlyjkxWu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d9dd22dd22dd2231 |
|
VISUAL
aHash
|
1818181818181818 |
|
VISUAL
dHash
|
32b232b2b2b2b233 |
|
VISUAL
wHash
|
f8f8f8d8d8d89818 |
|
VISUAL
colorHash
|
01000000e00 |
|
VISUAL
cropResistant
|
968c3ee4667e7845,32b232b2b2b2b233 |
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 185 techniques to evade detection by security scanners and make reverse engineering more difficult.