Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10B63A771A1C82537136793C4BB64EB1EA3C3828BDE930F8592F8C75E4BC6E91CC4565A |
|
CONTENT
ssdeep
|
768:EIMtiYggtTKqYmNXNdrR+QzHqXtw3sk6crR6KhrJZa7v5e8+c8mfE8a:EIAI1URhzHqA6W6KU7Re8+ca |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e4db8e33465e246 |
|
VISUAL
aHash
|
3c3c380000ffffc7 |
|
VISUAL
dHash
|
f0f0e062c4d92e2f |
|
VISUAL
wHash
|
3c3c380000ffffc7 |
|
VISUAL
colorHash
|
1b400018001 |
|
VISUAL
cropResistant
|
a2c0b2a29aace5a4,f0f0e062c4d92e2f |
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 151 techniques to evade detection by security scanners and make reverse engineering more difficult.