Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AF91E52024A5097345738AC1FAE17F1E729EF30EC64AC9024BED81A81FD7CA6B4345B8 |
|
CONTENT
ssdeep
|
48:bI7aafu6PxSfPvsW17wBdEfdhi7VpmGB5dGTLL+4b9wgGeQstrsrREBjK:kdus0357wcfdE7VcuAz9+5strsrREBjK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
accc933399d87272 |
|
VISUAL
aHash
|
1f1f131b0303070f |
|
VISUAL
dHash
|
fff737b3b79fffff |
|
VISUAL
wHash
|
1f1f9b1b03070f0f |
|
VISUAL
colorHash
|
10000000190 |
|
VISUAL
cropResistant
|
fff737b3b79fffff |
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 91 techniques to evade detection by security scanners and make reverse engineering more difficult.