Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FFE27432B060563B41E7C1CCB7A27B2E62E78289D749145586FD83BA0F97E08ED33691 |
|
CONTENT
ssdeep
|
768:9erDigpYic74lIMdGmaFTwFu67sOy2+y9BH4crIe:8igA745aSFu67sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c70b9d3af029b98a |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
48c8c0c8c8c4e100 |
|
VISUAL
wHash
|
003870f0fc00ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
028080004c888000,68c8c0c0c8c894e4 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.