Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T130D2A231A104363F229382D97750F36EA2F39249E746091662FD875E1BE7E90DA1352B |
|
CONTENT
ssdeep
|
768:kSFy5NQaqrWpEm75wR7sOy2+y9BH4c1Ie:4qrWpEu5y7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c373bc3a9d29c1c1 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
0808c4c8c84ccf00 |
|
VISUAL
wHash
|
00ecf0203c24ffff |
|
VISUAL
colorHash
|
31e00010000 |
|
VISUAL
cropResistant
|
0680a00458988000,9408c4c0c0cccccf |
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.