Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13FA2857223004EBBB46B8F89F5D17F9DA0399387D95614DDF7AC846127CAC98CC276A0 |
|
CONTENT
ssdeep
|
384:iC75r1pxv7TTYUe1m8tvF1Yzm+rV3p/WfeeI82sTKzkEEF5ayHw/Y90RxsEX6RaB:iC9r1pxv7TTUvF1Yzm+rV3p/WfeeI82V |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1ccce383833cdcc |
|
VISUAL
aHash
|
ffffcfc7c7c7c7ef |
|
VISUAL
dHash
|
12269a9e9c1c9c98 |
|
VISUAL
wHash
|
fb8188c08787c78f |
|
VISUAL
colorHash
|
07203000080 |
|
VISUAL
cropResistant
|
12269a9e9c1c9c98,4d8e172361c4c4c6,3333333333336363 |
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 12783 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)