Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T155C398B5412066BF12C7C2F4BA71B72D6256E34DCAB78A8DC3F4956E5B8ADC0DC010E9 |
|
CONTENT
ssdeep
|
768:TJbVO9nWHuv4IpOJ7ou5H5hsuUQGBm42mlkAL3:VE67P5H5hxUQGBm42dAL3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a43ed3cd665b038 |
|
VISUAL
aHash
|
183c3c3c3c0000ff |
|
VISUAL
dHash
|
f07179697979b1f0 |
|
VISUAL
wHash
|
1c3c3c3c3c1c18ff |
|
VISUAL
colorHash
|
39200030000 |
|
VISUAL
cropResistant
|
abbbaba9a9899989,f9393377f1c07c2c,b6b5b8b1c38e9393,660a2a75afbbdca5,b9b8fc7c78b0b216,f07179697979b1f0 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.