Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1001275A1D428DD33071286D5B7B27B2BB6A1C749CB430E9076F4837E5BDECA0CA1589D |
|
CONTENT
ssdeep
|
192:QqbjTZY+jiDiiEZinzYhhjMl8iIowyVbq78u1XgUElI8F:QqlY+jiDiikizGj41Twee78xy8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b03887c7c6fc3839 |
|
VISUAL
aHash
|
ffc7c7c7ffffff7f |
|
VISUAL
dHash
|
009e9ebe001800d0 |
|
VISUAL
wHash
|
00c7c3c3f0f0f030 |
|
VISUAL
colorHash
|
07440001040 |
|
VISUAL
cropResistant
|
009e9ebe001800d0,be1cbcf9edb5fdd9 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.