Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17DD27532B1043A3B5293C3CA7761B31EE1E7924ADA861915A3FC835D4BD7ED0DE2351A |
|
CONTENT
ssdeep
|
768:/eFy5NIOCteqr+haS3tZn6ALaTpb/b7sOy2+y9BH4crIe:HCtr+hf6ALK7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363d43ab82da5c3 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
dcc5c3e3cd8cd100 |
|
VISUAL
wHash
|
00fdf1710000ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
d200c00258d88000,cccdc1c3c3cd8cd0 |
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.