Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EEC2A831A0106A3B41D7D2E9B372A32FA2E3434FEA560551D3FD83AE4AA3D94DD33456 |
|
CONTENT
ssdeep
|
384:ASby5NoftM3BGtW7Gi/HLomkQ5lXc4D+87vIYsOy2+y9BH4cUUIe:ASby5NooBomjbB7T7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d265fc32e93890cd |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
9cccc4d8c8cc3c00 |
|
VISUAL
wHash
|
40f67800204effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca754d4d4d715596,1080800458988000,94ccccc0e8c9cc3c |
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.