Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15F62D86BE30C36760B600566BD2423DE9E6F144C7362AB893D9CD02C37B17854E726EB |
|
CONTENT
ssdeep
|
384:w7nz9AMtkx2yJfBQ8YM6ZrwEram/VIP3mbGjAnNOcBZv+2CQs/m:w7nz9A0kx2YZQ8krl2n/mbiANOc/+2Cg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a62e19092e3f193f |
|
VISUAL
aHash
|
01f7d7c7377fffff |
|
VISUAL
dHash
|
132525ade5d32fe0 |
|
VISUAL
wHash
|
01e707071701ff3f |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
132525ade5d32fe0,0180334b4b338001,d2e4a62678796921 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)