Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T181E2447231622413C67BACDAB27B625498E7A17EF5114134F3BC87AC5EFF44AB80A447 |
|
CONTENT
ssdeep
|
768:rTyTyTyTyTyTyTyTyTyTyTyTyTyTyTyTyTyTyTyTyTyTyTyTyTyTyTyTyTyTyTyP:rTyTyTyTyTyTyTyTyTyTyTyTyTyTyTy/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b939c6c62dc3c2d2 |
|
VISUAL
aHash
|
ff8f8f8b8bffffff |
|
VISUAL
dHash
|
a33a381633881000 |
|
VISUAL
wHash
|
010383830133cfcf |
|
VISUAL
colorHash
|
07002000180 |
|
VISUAL
cropResistant
|
a33a381633881000,030ec68129ab650b,c69393139381353d,8e9723236b4b968e |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)