Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T162E2953251546B3B06E393DAF761A32FA2E2C24DDB86061653FD831C0FD6E40DE6752A |
|
CONTENT
ssdeep
|
768:0eaze8mCYK/hHLte8aVnn7sOy2+y9BH4crIe:0xPetBn7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d247b412e938b8ed |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
dcccc8c8c8cc0d00 |
|
VISUAL
wHash
|
04fc70200c0effff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c3e3cdcdcdc3c3c3,0880900458988000,dcccc8d8c8cccc2c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)