Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D9A3CC234269752B4437C2C1347A5B3BD1A6998FFAF709404EDC87FA2BF9CA0741A25D |
|
CONTENT
ssdeep
|
768:RWntpR4nXF6YjOpSpFlTC6rrWE4BWWcnMaG6ACo:RKtpR4nXBKpSpFl26v2BWrMn6ACo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8f60f87e9017d23c |
|
VISUAL
aHash
|
90f1333f1d1193bf |
|
VISUAL
dHash
|
2363637c7567677c |
|
VISUAL
wHash
|
80f1b33f111193bf |
|
VISUAL
colorHash
|
0e401048000 |
|
VISUAL
cropResistant
|
2a29232763636565,236362767567677c,b280a0e0e0a080b0,a280a2e0e0a080b3,b380a2e0e0a080a3,c1b8c40617038387,9b008080a0900099,2363637c75676776 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.