Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A4235B726732B47843DB92DEF7382A46B2D29889F8CB4554F1D95ACD13C3C806297BB4 |
|
CONTENT
ssdeep
|
768:a++EsZx8/G83dMm4uDawBMDBkwQMDB9wzqN2/y9dGDUDF1E56ITmH+LXPnTyPqD4:a++EsZ/83dMBuDawBMDBkwQMDB9weN2k |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb6ec43b919566c0 |
|
VISUAL
aHash
|
818181818181ffff |
|
VISUAL
dHash
|
69010f5f1b5d0001 |
|
VISUAL
wHash
|
a18181838383ffff |
|
VISUAL
colorHash
|
1be00008000 |
|
VISUAL
cropResistant
|
69010f5f1b5d0001,acae99a9a8b13133,6931898a9a9a9a5a |
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)