Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T184B12B3150500C33E117D2D4FEE24B1B6292C744C7831792A1F847AFBAD9DA8CCAB178 |
|
CONTENT
ssdeep
|
96:nxQMp09TBn9YLfqtxNLrcBUGuStU3Blddmyt+ammYZuu:nHm9TbJ5GuhxkgRu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f373494d4d614971 |
|
VISUAL
aHash
|
00ffefffffffffff |
|
VISUAL
dHash
|
c8084c0c08000000 |
|
VISUAL
wHash
|
00e7e4e4243c0000 |
|
VISUAL
colorHash
|
07003000180 |
|
VISUAL
cropResistant
|
080c0c0c08000000,4020d0d0d0200000 |
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 82 techniques to evade detection by security scanners and make reverse engineering more difficult.