Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16B63857251C67E3B218382D28354D36AE7C2D30AC7278A86EBE8435B76C6DE4DD36134 |
|
CONTENT
ssdeep
|
1536:4ocTNbOVDc6Y0R/D9b4b50xifb3s012x8RQ8Zc:4UOuxKi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e84187bc356cbcd1 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
86c983131c33270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
993191c040505071,c53a382323400f0d,968fc9c98b33138f |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)