Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15C03E213B284E91A0ED714FFE6697BBA554C605DF730D49252E6896F62C8CEC9230F8C |
|
CONTENT
ssdeep
|
768:/GqwMbr51K8faxEBCdsrkOgzxpaQzgsItclfBUs3:nwMmfi80t4BN3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bfe0c0cc919f99c4 |
|
VISUAL
aHash
|
ffe18787870f0f8f |
|
VISUAL
dHash
|
51474e1d5f777e5c |
|
VISUAL
wHash
|
ff81870787030f8f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
51474e1d5f777e5c |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)