Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T131D285106716E40AB2B7E5E176A2AB8F63DDD31AD245C3390AF53068C0CFAF1B5563C5 |
|
CONTENT
ssdeep
|
768:HDMLEYCIhiDv42jNBPPscOfceZ7LniUYiFPihriB/3/X/Z/gY:HDMLEYCIhiDv42jNBPPscMceRLnDYePd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d66d86926d321c6d |
|
VISUAL
aHash
|
02f0f080202c2e38 |
|
VISUAL
dHash
|
1c44401042cd4d62 |
|
VISUAL
wHash
|
c6f0f0fc3c3c2c38 |
|
VISUAL
colorHash
|
382020000c0 |
|
VISUAL
cropResistant
|
eff3fbcfcfefe7df,1c44401042cd4d62 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.