Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10A23B63175C46B3B919342C69311BA4BD392D144E36AC64DF0EAC72E1AC5D8DE837AAC |
|
CONTENT
ssdeep
|
768:pjBTlDYANRVCwLDFk7O/Tmz3yEctwwJnpc3vPDNbgp/:pjBTlDFNawLDFk7O/T8ITJnkDNbgp/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9414ebebcacac896 |
|
VISUAL
aHash
|
fd0606060606fff9 |
|
VISUAL
dHash
|
71ccecccccfc3b33 |
|
VISUAL
wHash
|
ff0606060606fff9 |
|
VISUAL
colorHash
|
0e000000180 |
|
VISUAL
cropResistant
|
0021096161890192,96d6e8b094710f8e,80383b2c3b133113,f8f4e8d0e8f0f2e2,ccccecccccecccec,53b16160e1e3e7c7 |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)