Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DED17271914AE86F0065E2E49A7AF74957478304CB630F8452FC4BAEAAC3DE5CC231DC |
|
CONTENT
ssdeep
|
96:D9JcEnPeJ4A/ht1CJ1QHjaW8tRCJMtuMJLt3JetA9MeF4a6iwNXYhV:ERJL/ht1+1QHjaW8PaM40L3eKlF4BNXu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c62e91f19c0ec76c |
|
VISUAL
aHash
|
c1001010e0f47e7e |
|
VISUAL
dHash
|
019561e9c2c8c4f0 |
|
VISUAL
wHash
|
e7001011e0fc7eff |
|
VISUAL
colorHash
|
18000001640 |
|
VISUAL
cropResistant
|
36d636c6848c6cc5,b2b2922798dcecaa,019561e9c2c8c4f0 |
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 27 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)