Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14C121D62708471270BD293DDAE31A3ADE38381969E261E4622D58F0F9FE7E41CD1346F |
|
CONTENT
ssdeep
|
96:85LiKDXEu7NwENIrxUTMEozy4BN504DJP4T4likBw0AYIyp+qSAYIwAYIbjpRNfL:8UYXPN1NqKAjwyJp+qwpgfNfMU1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6e61919e6664c33 |
|
VISUAL
aHash
|
ffffe7e7e7000000 |
|
VISUAL
dHash
|
e80c4c0c4db21030 |
|
VISUAL
wHash
|
e7ffe7e7e7000000 |
|
VISUAL
colorHash
|
1e001000280 |
|
VISUAL
cropResistant
|
0c0c4d4c0d0d4d0e,000204ccc8d40000,743c86c6a2816953,1030303000102030 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)