Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17123543063569C3B519795E5ABB17F1A22D3E315C3420B8466F8A3BE0FD2C2CFC661A5 |
|
CONTENT
ssdeep
|
768:A6+wgGeeeOoqwq933XFEOTe7dQWWc/ZToBV80U8sV2TH/Dve2uLs1b9KQi+hIQlm:AKTeeeOoqwq93HFEOTelWcR2vU8sKrvM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f46a0f98385a89f6 |
|
VISUAL
aHash
|
80f0e0c0c71e0e87 |
|
VISUAL
dHash
|
3a868c928e303c6e |
|
VISUAL
wHash
|
80f0f0e0c71ebea7 |
|
VISUAL
colorHash
|
30007000000 |
|
VISUAL
cropResistant
|
3a868c928e303c6e |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)