Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B2D3B7B24160D8B4951F63E6D630B324E4F793BEDBE45BF0E0A5C2B0AB46C69AC53446 |
|
CONTENT
ssdeep
|
1536:iXgpidqpYv9kHkbPM0Cz46jPWkwms+TPcXnUnx5S7tjeErLmy3wgvJcExSjvR71b:oC5jPWpt9pkjvT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e3b441dcc176e2d4 |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
440c0c4d0040c8c9 |
|
VISUAL
wHash
|
f6e7e7e7ff000000 |
|
VISUAL
colorHash
|
17000000e00 |
|
VISUAL
cropResistant
|
44080c0c0c0c0000,4020c8c129d1c0cc |
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 108 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)