Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C1532072B241172E622382D5E92363272577F34BD21F558B7EE811726B8FC35EC6268C |
|
CONTENT
ssdeep
|
768:X6dh2zBJ+lbH39lrfxy9q/yPw2sWIyMie+32dv1eo8lBX4S2rXZf:XaX9df89qyI2s7Ly0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6b9c6b1e4b1c4b1 |
|
VISUAL
aHash
|
ff18180000342c3c |
|
VISUAL
dHash
|
8e687092f0e8e8e8 |
|
VISUAL
wHash
|
ff3c1818183c3c7e |
|
VISUAL
colorHash
|
30000200038 |
|
VISUAL
cropResistant
|
0008828c8c820880,606060606060e0e0,f1f1f1f1f0f8f8f0,69683070e0e8e8e8 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.