Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EFC11FB05009DAB31183D3D0E7B72B5B32E6935EDB838B0983F493AC5BEAD98DD56140 |
|
CONTENT
ssdeep
|
96:TOTTG5hW3LWXFzhAdnBVvmn/Qo+uYezDf:QTGXiLjnBVOQuYe3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9898f2363376279a |
|
VISUAL
aHash
|
0e5c3d5b1930e40c |
|
VISUAL
dHash
|
4c9171d473620dd9 |
|
VISUAL
wHash
|
2f7c3d7e0930ec0c |
|
VISUAL
colorHash
|
38202008000 |
|
VISUAL
cropResistant
|
4c9171d473620dd9 |
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 24 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)