Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FFD29431F110273B52ABD3C97791F75AA2E3824DDB56080552FC876D4BE7E90EE2312A |
|
CONTENT
ssdeep
|
768:vSzy5NIPOdEMn8JtJGiPD8NNQSeM47sOy2+y9BH4crIe:sOJn8JPBUNQFM47sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363f53ab018b9c5 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
c8c7c3c8cdc9c100 |
|
VISUAL
wHash
|
64f370340001ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
c200a00158d88000,c8cbc7c2cdc9c9c2 |
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.
Pages with identical visual appearance (based on perceptual hash)