Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C5E2C832A1006A3F11A7D2C9B3A2F32AA2E79349D6050615D1FD836D0BF3CA5DE37656 |
|
CONTENT
ssdeep
|
768:9Yy5Nw7vmaLPXgMz878JRqO9Kn27sOy2+y9BH4crIe:M5PTzqO827sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926bed128d6d9287 |
|
VISUAL
aHash
|
000000000404ffff |
|
VISUAL
dHash
|
0d0d4b43cd0c3300 |
|
VISUAL
wHash
|
80e5e1010c0effff |
|
VISUAL
colorHash
|
39400038000 |
|
VISUAL
cropResistant
|
fefeff9797fffffe,0080800078908000,090d490b4bcd5c33 |
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.