Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16FE1C52172185EFDD27787DCE3167334A0ADB24AE64F9024F02E037662C2EE5587779A |
|
CONTENT
ssdeep
|
192:zT/xSNt7JuSrZu5yABTuXt2a1aI1vEdF8zM1ZoBdtC:zjxSNt7D9uskO1chZoxC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc6666993331dc66 |
|
VISUAL
aHash
|
1818181818181818 |
|
VISUAL
dHash
|
b2b2b2b2b2b2b2b2 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
300000000d8 |
|
VISUAL
cropResistant
|
e0c48488d8f072b2,8c6bce8c8c2b6b8c,b2b2b2b2b2b2b2b2 |
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.