Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11922E371705C1598212678D2E0F636A6B626163E7EC718B074B6DE0ED5EC35FF0A1A34 |
|
CONTENT
ssdeep
|
96:7xNoMSbkMGGNlvCsl7pR6MqkDZX5ISns083WrEuescnrVkPPBnsHtILXPu:FN5SbkWDJ5Zs08kENnrq9sH6L/u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9c1973cc3693896 |
|
VISUAL
aHash
|
ffff81c18181c3ff |
|
VISUAL
dHash
|
02330713130f3700 |
|
VISUAL
wHash
|
ffc381818181c3ff |
|
VISUAL
colorHash
|
17030000080 |
|
VISUAL
cropResistant
|
02330713130f3700,620f1733331f3737 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.