Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17991C7306114AE7D1B67CBA8F5E0B625D19DE308C33A605CFACD02361BC3E95DA73298 |
|
CONTENT
ssdeep
|
96:qjvxxoGlsXZuNg32zsjHbZ/kOVuxK55QHQJVqIEcZJrCapkprrZACM5:qjvjoGeXZuNI2ONNWHQJVnZEoSrrZVM5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
996666999966899b |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
00083232b2320c10 |
|
VISUAL
wHash
|
0c0c3c3c3c3c0000 |
|
VISUAL
colorHash
|
38007000000 |
|
VISUAL
cropResistant
|
00083232b2320c10 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)