Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T167D10FB29018AD375793C3EAB7B1A34EB792C685C983064A96F6D35D1FD3DE0CC12252 |
|
CONTENT
ssdeep
|
96:iNdCHUnoGyPs44mGjZzm5K4yYey/q0w2mzClPhUbTuGWVBrGobuQcQM9O:iNcnFbOwapgTBrNM4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fe7e78a161615494 |
|
VISUAL
aHash
|
80808080ffffffff |
|
VISUAL
dHash
|
2130340330202024 |
|
VISUAL
wHash
|
80808080f0f0f4f4 |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
2130340330202024 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)