Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C045CC32C3A3191A95B685CEE6AB976113C03188D3660F68B35ED3BE7CCD47374662C9 |
|
CONTENT
ssdeep
|
3072:a2RwHJ05hqXeqyITZCi4NNCMtYyw/mbxbk2mXRbI+S:aY5a0bw/mJNqmT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f32071df20df2067 |
|
VISUAL
aHash
|
c3c3c3e7e7e7ffc3 |
|
VISUAL
dHash
|
9e8e8e4d0c8e2a8e |
|
VISUAL
wHash
|
c3c3c3c7c3c3c2c3 |
|
VISUAL
colorHash
|
06008008c00 |
|
VISUAL
cropResistant
|
9e8e8e4d0c8e2a8e,80203343531304d8 |
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 53 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)