Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T103A21E23B600DD6A889B16DCF1C88989451DC345FB224CCA757481FFBBD4CB06AA9BDD |
|
CONTENT
ssdeep
|
192:Vt3JYdN3aiFJxe7xIUxJMcnthWeNWbN+60txENwxJx9xNMcnthWeNWbl3g+u1wLW:ON3ain+6XESg+u1wopw4X9fMmUFCoTc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a7d827897609fc07 |
|
VISUAL
aHash
|
e3e7ffe7e7e72727 |
|
VISUAL
dHash
|
0e0c080ece8ccccc |
|
VISUAL
wHash
|
03070323632727e6 |
|
VISUAL
colorHash
|
07000000030 |
|
VISUAL
cropResistant
|
0e0c080ece8ccccc |
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.