Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T175F2EB329054783B02A392CA6B35635FB7E38109CE271F0567F8839D5FDBD49CC26A5A |
|
CONTENT
ssdeep
|
384:d/+iT9Gs90s90m2vnJwa0zDMq3tMAVPquFBn+9GRha9Gs90s90XxBAbX:d/nAs6s6mGnJwa0zoEtfVcA+As6s6fAz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e968baae2a28be0e |
|
VISUAL
aHash
|
c100000020ffffff |
|
VISUAL
dHash
|
2b90d293c0520732 |
|
VISUAL
wHash
|
f500000030ffffff |
|
VISUAL
colorHash
|
06002000180 |
|
VISUAL
cropResistant
|
2b2b2b3341690192,ce00802a268000ba,d45b13073b030334,000532cdcd0c4200,929282d2d287c3c4 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.