Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13FD25371C6D7AA67023185C5EB993F8C63CE384EDEF11D8292FDEA56464DD1EAC03890 |
|
CONTENT
ssdeep
|
384:8WK51Kaovl5p8Fe6WmZECXLc/+5gM95LDEW/3sUPTBGTyCPv6tXGi0adcihTDb0X:8WK51Rod4FzxjDvgy0C/0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0659a9b639cc731 |
|
VISUAL
aHash
|
ffc3c3c3c3dfdfd7 |
|
VISUAL
dHash
|
969696869eaebc9e |
|
VISUAL
wHash
|
c3c3c3c3c3c3c6c3 |
|
VISUAL
colorHash
|
06000018000 |
|
VISUAL
cropResistant
|
969696869eaebc9e,dada9a9496b672aa,4772329c69696969,cec2c58ec6feb536,6869692804696969 |
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 47 techniques to evade detection by security scanners and make reverse engineering more difficult.