Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11DF11FF0D440ED3B435386D9A7B9AB0B7792C349CB031585A3F883AB6BDAC60CF11599 |
|
CONTENT
ssdeep
|
192:QseGdnbzD715lt8iIadIMNPHy3GEEMsosXAfw:Qse6nf1X+MNPHWHEMvJfw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8b066c7a343cf98 |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
8696929e10681000 |
|
VISUAL
wHash
|
e7cfdfcfdf000000 |
|
VISUAL
colorHash
|
07200038000 |
|
VISUAL
cropResistant
|
169692969a9e1648,008b0b0b2b218301,0000000000000000 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.