Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T114521143320D6B55C2F3449944106A907283D68FC9A1C77096FC4E7F1BE2AA267E6F7E |
|
CONTENT
ssdeep
|
192:uL67Azp0HjbB1jZRAUGWjwSAX8PMldnfCu8Ktnlg9zvLITjoyjwSAGX6PelFRjoH:cz2FRWS759v3SF44FMhzj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fc2dd2933e32814d |
|
VISUAL
aHash
|
dff3838383fffcfc |
|
VISUAL
dHash
|
2b33372736151d31 |
|
VISUAL
wHash
|
8381818183fffcfc |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
2b33372736151d31 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)