Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19AC120B2E00C083B518747E1B350F75BB7A38399DE422D5162F6C7A517EAEF0D1C618A |
|
CONTENT
ssdeep
|
96:BGK0l/66ZgmYtR6r6xkL8QUS7wqfubaDeXvA/pDQi8S7D6v++iFR6b6PbqtIDXwx:BGl/fZFYtRgMkL8yr2Uc+R9Dd+iFRCwk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6644dcc6c646567 |
|
VISUAL
aHash
|
00e7c3e7e7ffffff |
|
VISUAL
dHash
|
160c0e0c0c000000 |
|
VISUAL
wHash
|
00c3c3c3273f0f0f |
|
VISUAL
colorHash
|
07030008040 |
|
VISUAL
cropResistant
|
160c0e0c0c000000 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.