Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F07210E1D050DD3B435385D8B6B5AB5F36E2C348DF021A5453F843EAABCFDA08A125D9 |
|
CONTENT
ssdeep
|
384:Qhx3wcGgGnHCcd15+k75vaPeZUZ4ZpZDZhn/cy0pjcMs/h8F:8x30HCcd1gkI9Z4ZpZDZhnUDF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c85ca35a88fea3d8 |
|
VISUAL
aHash
|
ff0000101800c0ff |
|
VISUAL
dHash
|
888010b0308000ce |
|
VISUAL
wHash
|
ffc048181800ffff |
|
VISUAL
colorHash
|
01000000007 |
|
VISUAL
cropResistant
|
08000c0d2b0c0080,5a74a083c7a6aacc,000040960ec9d6d6,808010b030100800 |
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.