Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19FC29672A1402A3B0297C3C97371B72ED2E3928DDB460A1652FD975E5BE3F90CD1352A |
|
CONTENT
ssdeep
|
768:USCy5N8gCCqhwZWtrzKkRF37sOy2+y9BH4crIe:pCJLz757sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9363b53adc2894cd |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49c2c0c9e99d00 |
|
VISUAL
wHash
|
80ef3020340cffff |
|
VISUAL
colorHash
|
39038000400 |
|
VISUAL
cropResistant
|
0080802058d08000,1e494ae0c0c9e909 |
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)