Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T106C18773D004D81D0AB7968DE7C1F99D829BC24BF6706CD3A1D4506F2DC0EF595A2369 |
|
CONTENT
ssdeep
|
96:4rN8as0VN800KN8ZCuaR1sY7qIfMmORR1E8VCon500cyJzFTl:zaan6deIfMmUU8VCo7vj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f55d4d1070ee82e |
|
VISUAL
aHash
|
fc3e1f3f1fff1f9e |
|
VISUAL
dHash
|
8ce4377070826434 |
|
VISUAL
wHash
|
7c7e03030dff1702 |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
8ce4377070826434,45453b98c4e45145 |
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)