Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T118F266B1215216BF42AB9FF1F6A16B79B0EDC74CCD1BC958A2FC42B11BC6C52ED46204 |
|
CONTENT
ssdeep
|
768:Yud1y7GrFeysawKIRg/OCojIlHL5oSsrUWXpDUjyUX:x1yKheyNcRgh1swqAX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cf3c9236c6363236 |
|
VISUAL
aHash
|
041818383c3c3c3c |
|
VISUAL
dHash
|
cc32306060706871 |
|
VISUAL
wHash
|
24d8b87c7c3c3c3c |
|
VISUAL
colorHash
|
38000600010 |
|
VISUAL
cropResistant
|
cc32306060706871 |
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 48 techniques to evade detection by security scanners and make reverse engineering more difficult.