Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A9C143E0D410DD37435385D8E7FA6B4BB691C749CB430A4193F883BE6BCAC60CB255A9 |
|
CONTENT
ssdeep
|
96:TkPFzeNNeSTgGprSS8ct7aVFGCXeHFyPWXfX//t7b0YyJ:QPFzeTkGppkytXHR0P |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cbe8b448b691ba96 |
|
VISUAL
aHash
|
fbf8f9f9f9f8f8ff |
|
VISUAL
dHash
|
1313333333331311 |
|
VISUAL
wHash
|
f8f0f0d0d0f0f0f4 |
|
VISUAL
colorHash
|
07000000030 |
|
VISUAL
cropResistant
|
1313333333331311,0096eaf2e896ba01 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.