Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T157234A726332B87843DB92EEE7392D46B2D6948DE8C74554F1C95ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aP+EsZx8/G8LMoDVR+MxBDRDMxBl7Uuix+y9dQpUDF1E56ITmHx3nqOhqePqDvHG:aP+EsZ/8LLDVR+MxBDRDMxBl7Uxx+y9z |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb956ac695c5c095 |
|
VISUAL
aHash
|
81818f8f8f818181 |
|
VISUAL
dHash
|
61595b5b59494919 |
|
VISUAL
wHash
|
ff898f8f8f818181 |
|
VISUAL
colorHash
|
32c00600000 |
|
VISUAL
cropResistant
|
61595b5b59494919,fef9e9c1a2a6cc89,7438385c3cbc9cac,259a9a9a9aca8a18 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)