Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117D2AA3361147A374197D2CAB3A1672B65E3434FE7460912A2FD83AD07E7E14EF27229 |
|
CONTENT
ssdeep
|
768:xe0VM7ZFqdY25s5bFXr5lH7sOy2+y9BH4crIe:nM3Go5zl7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d605b434ad34e5c7 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
d4ccc0c8c88c8c00 |
|
VISUAL
wHash
|
027c74306044ffff |
|
VISUAL
colorHash
|
31010001600 |
|
VISUAL
cropResistant
|
0880880458988000,d4ccccc0c8c8888c |
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)