Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T152D3CD61B00616AB21A3CAD8F4743EDBA1E2EF09C20B404765FC52591FCBDF568777A8 |
|
CONTENT
ssdeep
|
768:CYRfMrsf72iUTaKetiFeGJgtmNcwGPU9Z/5fPY8t1pYG1JqXpxNxg0rH4WUP1y/x:CdYExRAKaiN+X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
893a2749dd8e5ce1 |
|
VISUAL
aHash
|
00251c3c38187f3c |
|
VISUAL
dHash
|
cbc9e938f2f1c6d0 |
|
VISUAL
wHash
|
013f1c3c38387f3e |
|
VISUAL
colorHash
|
30000200010 |
|
VISUAL
cropResistant
|
00100cb2b2320c00,cbc9e938f2f1c6d0 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)