Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E1E2A430900A683F06A773D1F775B35BA2C58389D947472A82FD8B8D4BEEC90ED13995 |
|
CONTENT
ssdeep
|
384:AUzkWiIIBDR4XIIIII9NlBHhoSnIbhf5OcHxNXzZHO8w+DhzOpW:uIIBiIIIIIHqTOcHxNXzc1+1F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e3791c1839e6c6 |
|
VISUAL
aHash
|
00e3f7ef7f3c1818 |
|
VISUAL
dHash
|
97cfcfdbe5e1f0f0 |
|
VISUAL
wHash
|
00e1f7ef7f381818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ee9c888c0c,0000696969480000,97cfcfdbe5e1f0f0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)