Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1967397B601016A3F254381D1535CE75ED3C2DA0DD36B494ADBD8837FA3D6EA0EE3A264 |
|
CONTENT
ssdeep
|
1536:cc+phSRDclX0i4j/ci8ya0ZEGoJtdj0uxVuz8Il:XjT70tKLl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe96d6b6b0 |
|
VISUAL
aHash
|
00003c7e7effd1ff |
|
VISUAL
dHash
|
8493c8d0cccc238e |
|
VISUAL
wHash
|
00003c7e7effd1c3 |
|
VISUAL
colorHash
|
07010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc236596,8483f3cbc0c8dcd4,4561417971690141,17496969696995a5,00454d7171414541,c8cc65b59d892909 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)