Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DF51D8B910000D32169389CBB4D1B75FA6CB9329C709BD14F1F8C6E357DECA809157CA |
|
CONTENT
ssdeep
|
48:lcjhTNmTNMbYjFL/1iIIn56WEjEhwk3PEwaY0AZyOUrdfdMfDT/cYXMnSMZ:4DYjFcn56APE9YtZyZrdfdMLTkYcnSMZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc993366c9996666 |
|
VISUAL
aHash
|
0000001818000000 |
|
VISUAL
dHash
|
00304cb2b24c3000 |
|
VISUAL
wHash
|
00001c1c3c3c0000 |
|
VISUAL
colorHash
|
38000000000 |
|
VISUAL
cropResistant
|
a1550ec1c2195905,00304cb2b24c3000 |
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 26 techniques to evade detection by security scanners and make reverse engineering more difficult.