Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E4E2B672A1106B3F019392C6B291B75BA3E3934FD24A051652FD836D0BE3E51ED2736B |
|
CONTENT
ssdeep
|
768:5QeT32EvTjCZ+/MYLDyUPJR7sOy2+y9BH4crIe:pRBME37sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d261ed16bd6990c9 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
98ccc0c8cc0cc700 |
|
VISUAL
wHash
|
006478380e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04324c4d4c4c3204,0080800058988000,9888c0c0e8cc3cc7 |
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.