Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E9F124E0C044DC3A135385D9B7F5275FB696C354CF060E8853F853AB9BDAC60CA23A9A |
|
CONTENT
ssdeep
|
96:Tkfn7khOlzH0X0eGnVHWYyEKwvFseFXeHFaeBXTz/bVHYRQ6R:Qfn7khOlzH0XsnpyEb4zNzT6RQQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3934364bcbcec92 |
|
VISUAL
aHash
|
0000ffffff000000 |
|
VISUAL
dHash
|
26c9e93008a30000 |
|
VISUAL
wHash
|
003cfffffff00000 |
|
VISUAL
colorHash
|
03000000007 |
|
VISUAL
cropResistant
|
d8c900303830084c,0404000008c8d4ed,a2a3188200000000 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.