Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18D737532A3471816E04781C8B671970A3652DB55CB134F78B7BE23F5FACECB526A128D |
|
CONTENT
ssdeep
|
1536:O3xyI374SzUnn21GWvlqGkpvj7qjHC2uHoVYwN8NulKoCk222I22222229WJhWJu:r27Ck222I22222228JgJaJEJpJPhcTTV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3cc4e393093cdcc |
|
VISUAL
aHash
|
7c307e4e464e4e46 |
|
VISUAL
dHash
|
c8e7e4988a9a888a |
|
VISUAL
wHash
|
7c707f4e4a4a4e46 |
|
VISUAL
colorHash
|
02200038000 |
|
VISUAL
cropResistant
|
c8e7e4988a9a888a,04c836f815152d29,d7693248cccc442c,e124646cc3c77673,6f2b3b3b2b332327,93d6692b71f1e1f0,0f47233b23332161 |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)