Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T106438431D1D19C3E518BA294A670379F22ABE303C7870BE497B8D3698BD3D95DC27194 |
|
CONTENT
ssdeep
|
768:zoVceLMfgo0QiSrDcuVKRqzTetWK7UtK1:z+LMfF0QiSrDcuCq3IWNM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e7e9989692bd0893 |
|
VISUAL
aHash
|
ffe0e1e0e0e0e200 |
|
VISUAL
dHash
|
2147434acc8e0ef1 |
|
VISUAL
wHash
|
ffe0e1e2e0e2e700 |
|
VISUAL
colorHash
|
06250000000 |
|
VISUAL
cropResistant
|
20074343cccc0e0e,982d92b2b2167333,96d6ce2c71f93c3c,0d1c4e2535313131,9026d8d88eac6192,0600010602060616,100d32b331050501 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)