Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15D14C8319248AE3F22A383A0A779B765B351D182CF420B05D3F547B65B66CDADC372D8 |
|
CONTENT
ssdeep
|
3072:GG/0mLlqJLlqJLlqJLlqJLlqJLlqJLlqJLlq9:GC0mRqJRqJRqJRqJRqJRqJRqJRq9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b24bc97832c3db58 |
|
VISUAL
aHash
|
fdc3efe7c3c3ffff |
|
VISUAL
dHash
|
69864f0d8e8e5427 |
|
VISUAL
wHash
|
81c3e3c3c3c3d7c1 |
|
VISUAL
colorHash
|
07090008001 |
|
VISUAL
cropResistant
|
69864f0d8e8e5427,d339050509652307,536367333b991919 |
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 500 techniques to evade detection by security scanners and make reverse engineering more difficult.