Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E9C2A6719100273B02A7C3C9B776B72E92E3828ED685141A53FD87AE4BE6F44DD33916 |
|
CONTENT
ssdeep
|
768:8SXy5N85AeUgSW1Fm3rKtoCoqLc67sOy2+y9BH4cLIe:jAeUgSW1kbXCoz67sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfc32906dc682 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
1449c3c3cc4ce600 |
|
VISUAL
wHash
|
80ed71300c04ffff |
|
VISUAL
colorHash
|
31000200038 |
|
VISUAL
cropResistant
|
208080106c888000,1409cfc3e3cccce6 |
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.