Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11323C5207201B76A5C330F74F34A356AC1EE9389E5E2B82DB295925171D317AC747CFA |
|
CONTENT
ssdeep
|
768:2mWsbN+ha0wA3ansAXOn+RYPfhPsL4R3E4t6/8MPoPKPlLgPvSfAP2qDZ7U1c/zq:2mz0wA3ans+O+Rq6o3E4t6jKSJqDZ7UD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e1619e9626999b99 |
|
VISUAL
aHash
|
ffc3c3c3c3ffffff |
|
VISUAL
dHash
|
4d96969696001660 |
|
VISUAL
wHash
|
00c3c3c3c0fcf090 |
|
VISUAL
colorHash
|
06080003200 |
|
VISUAL
cropResistant
|
4d96969696001660,ccf0ba82deba9696,ccb02b2bd00d8fb3,8eb89e3adce8aa8e,0dd5d55575f57169 |
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 394 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)