Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D045CB32C3A3191A95B685CEE6AB976113C03188D3660F68B35ED3BE7CCD47374662C9 |
|
CONTENT
ssdeep
|
3072:Q2RwHJ05hqXeqyITZCi4NNCM9Yyw/mbxbk2mXRbI+S:QY5acbw/mJNqmT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f520999b23678e65 |
|
VISUAL
aHash
|
c3c3c3c3c3ffe7ff |
|
VISUAL
dHash
|
9e96968e8e4c8e8a |
|
VISUAL
wHash
|
c3c3c3c3c3e7c2c2 |
|
VISUAL
colorHash
|
06008008600 |
|
VISUAL
cropResistant
|
9e96968e8e4c8e8a,80203343531304d8,5ad2b2d092f6d256,96849450587bcbb4 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)