Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T118D152E1C018CD37436285D4BBF57B1BB6E1C349CB02098453F843AB5BDECA0DA65AA5 |
|
CONTENT
ssdeep
|
96:TkBDRP7gzeFMSftVSTgj7hUSPRhtcbs5wvFuAeBXnHFd3ppe2ADXJz/o6QGR:QBDRP7gzejCUjbf2YZRLK2A9zCc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
da55a55a5aa5a389 |
|
VISUAL
aHash
|
fcfcfbf4fce4ffff |
|
VISUAL
dHash
|
2410020529090000 |
|
VISUAL
wHash
|
d0c0e0c0c0e4ffff |
|
VISUAL
colorHash
|
07482000000 |
|
VISUAL
cropResistant
|
2410020529090000,48ef899f17878f9d,074f972ba3974d17 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)