Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D123987361860C0380179CD1B262572E7246C74ED7474A6263B85AAF7FCACB67F1239D |
|
CONTENT
ssdeep
|
768:Qed7h53zK3XtI8g0E0gECJr7YS7SmygUIWVo2T7G+xmi+vTM3wfNI1yO2ybAJYi3:xVHXI8ON4J6qS3aX7B4kcQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9c6ee10b893c9cc |
|
VISUAL
aHash
|
c3c1fbc7c3c1c3c3 |
|
VISUAL
dHash
|
2b23a31b8b9b8b0b |
|
VISUAL
wHash
|
c381fbc3c3c1c3c3 |
|
VISUAL
colorHash
|
06200038000 |
|
VISUAL
cropResistant
|
2b23a31b8b9b8b0b,715964f835372b2b,d7693248cccc442c,f0afb6feb6b1d4f8,93d6612b71f1e1e0,aaaa96a1717332f2 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.