Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T147D2CB76B2106A3741A7D1C973B15B2AA2E3434FE7C60511A2FDC3AD0BE7D14DE27229 |
|
CONTENT
ssdeep
|
768:bhehZJjC957Nck1F4185s5TaRLrISfBIJlGKUEy+7sOy2+y9BH4c1Ie:UJje57ik1F41z5TaRQSfBIJlGKUEy+7X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d607b430ad34e5c7 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
d4ccccc0c88c8c00 |
|
VISUAL
wHash
|
067c74304044ffff |
|
VISUAL
colorHash
|
31010001600 |
|
VISUAL
cropResistant
|
0880880458988000,d6ccccc0c8d88c8c |
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)