Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D4E132237009790F2726DE6AFFD1F249CDC3DA9BCC9998E1C1D9515E86F0DF081A2626 |
|
CONTENT
ssdeep
|
192:Jm0j0Iac3stKDRYeRkZL2x7tiRf7IaUJSl4JSP:MIac3stKDRYeRkZL2xBiRf7IaUJS3P |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3735d4c66664c4c |
|
VISUAL
aHash
|
00efffe7ffffffff |
|
VISUAL
dHash
|
480c0c4c30000000 |
|
VISUAL
wHash
|
0080e8e0f0f0f0f0 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
4d4c4c4c30080000,00002024a4241820 |
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.
Pages with identical visual appearance (based on perceptual hash)