Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T150A3F8F7D39C6970B14363C4F1A06352622325BADF4ACAC8DA6C51B8F3D6C894C7B991 |
|
CONTENT
ssdeep
|
768:LiW2pl6kuhS5WAz/J0Ff7KURSshA5D5UsHDYo6c:AJMaKc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3b63c1c3c3c5696 |
|
VISUAL
aHash
|
06ffffff7f200000 |
|
VISUAL
dHash
|
14c9cddbc4ccd0c0 |
|
VISUAL
wHash
|
06ffffffe3200000 |
|
VISUAL
colorHash
|
18000000180 |
|
VISUAL
cropResistant
|
14c9cddbc4ccd0c0 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.