Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12E4164B060515C2BB642C2C8B7F827093682C206CA931F4963FA8BBC77D9C97DC152E1 |
|
CONTENT
ssdeep
|
48:TIpQ3wycpctRus53vBbkk2otemvhaXKVukZp:TpJ+u3vBb7EmvmKVPp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
803b5d6f2f2e8c8c |
|
VISUAL
aHash
|
086c7d64747c7c7c |
|
VISUAL
dHash
|
d898b18dada4a4a4 |
|
VISUAL
wHash
|
006c5d647c7c7c7c |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
d898b18dada4a4a4,f0c6c0c0c0c0c0c0 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.