Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15FD3DAF20154E861550B97E6DA307324E4BB52BEEFA45BF0E064C3B0E746CBAF94354A |
|
CONTENT
ssdeep
|
1536:Pgp/Ap3kiMSR12yADSnUnPYGzjz2Tzwzfozj7zIzy+5+NPRv+7+NngyiFlLWA+qQ:2YnzgRnmjZO0PMpkjvf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e3b441dcd154d4dc |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
8c080c4d0040c8c9 |
|
VISUAL
wHash
|
fee7e7e7f7000000 |
|
VISUAL
colorHash
|
17000000e00 |
|
VISUAL
cropResistant
|
9408080c0c0c0c00,4020c8c129d1c0cc |
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 50 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)