Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1648283306886BD3B53A312D1DB12976BB2D48248D5074A5AD6FCCB6F0BD3D81DF63206 |
|
CONTENT
ssdeep
|
384:XaiyWujulfgidGL6nS+HbUKxLX+UIRLcv:Xa1WvfU+HYCX+Urv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c659587279596cd8 |
|
VISUAL
aHash
|
00ffffffe7e7ff00 |
|
VISUAL
dHash
|
94f0b2324c4dcc32 |
|
VISUAL
wHash
|
00ffffdf03036700 |
|
VISUAL
colorHash
|
00030000000 |
|
VISUAL
cropResistant
|
d0b232124c0dccf0,a689c0dab4b44b00,c5c9cd4f07cdcd17,4c32144c0cb2320c |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)