Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1328263746240193F51D782F5F7A27B3E62BCC6C7D907859AF3B8802A5BC6C18CE45AA0 |
|
CONTENT
ssdeep
|
384:FRd2lSvdYm9IZuuewuNsskVdka4j/6qkJ0GZ5TcNLTY4:J1vam9IZuutuysvfGZ5TcNLTP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cb58e1f07070f1d9 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
86696931120cd64b |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
0e007000080 |
|
VISUAL
cropResistant
|
0e304d4db2d65a6b,9287696171493133 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)