Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C174212342197A2A4437C3D03465DB77D1A69E9BFEA30A404FEC87F66AFDC50B40A61D |
|
CONTENT
ssdeep
|
1536:dgg2nUgQmTa3MZo+Hd1+zxSLd+Smfu4/ZT4oU5ykyJAWs/iQqPv3W/CM2WZKxOZU:dggEOQo+fQCEACM2WZKxKGnd14Yk6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bebc41e34bc1c23c |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
4b263e322604d028 |
|
VISUAL
wHash
|
ff83879f87f70000 |
|
VISUAL
colorHash
|
0e0c0018000 |
|
VISUAL
cropResistant
|
4b263e3e32262690,80a2000269690020 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)