Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D3C3D662A1843533123347C5B5ADF7A8E393D384CF06158592E18BAF2FDBD60ED5A31A |
|
CONTENT
ssdeep
|
3072:iomwN0vM3+3GKgom+IoxU5e91TR+0pfzzDC9zWWUe5hBA7/ShRrn6ynGccC4kkau:TmwN0vZJIDPCT+4kkx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6185966665939e9 |
|
VISUAL
aHash
|
0004dfffe7e7ffff |
|
VISUAL
dHash
|
dc1c322e2e2cd12e |
|
VISUAL
wHash
|
00008bd38387ffff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
1020383818582000,1832262e2e2c962e,24d3dcdc23ece40c |
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 77 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)