Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13691AC1631001C264933E7D1FFC2AF0432B7A31BC64A8ED153E98166CEDBDB1A96B965 |
|
CONTENT
ssdeep
|
96:u5aus9Q0vgSWQwQtsQLQwQ9/QqMHQ4Q2yQuQfQsQbhQ5ZQ2QrQxQiS2QUPQ5Q6Q7:u01vgSWpEs+HQ/HM15yT0neWJWUs2zu2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d9f3668c9933138c |
|
VISUAL
aHash
|
fffef8f818180000 |
|
VISUAL
dHash
|
0800103232300400 |
|
VISUAL
wHash
|
fffffcf898180000 |
|
VISUAL
colorHash
|
07006000040 |
|
VISUAL
cropResistant
|
0800103232300400 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)