Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12C429673D3245E3A4B2200C6B76177BF2FA6A049F3521FAC36B4C26953C192585397DB |
|
CONTENT
ssdeep
|
192:Ckz8hhKujTdsvusS4Lv5ixT4vgRROyU8F:dKKeTevuHCvgcgq78F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a07483de82fe82de |
|
VISUAL
aHash
|
ffc3c3c3c3ffffff |
|
VISUAL
dHash
|
06969696962016d6 |
|
VISUAL
wHash
|
83c3c3c3c3c3c303 |
|
VISUAL
colorHash
|
0e030000080 |
|
VISUAL
cropResistant
|
06969696962016d6,2b133333272bb272 |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.