Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12F51F830D4825CB3782BC2709ADEC90526538F5AE75323E3C9E0296F66D5E18DD9B07C |
|
CONTENT
ssdeep
|
48:hAVVd6jPJYoD/k6jPBrRV9FP1A2AFP5fJtWtFPzwV999fYsBHjiIXUivFJu:e09TBn9YLfqthwN9fKIEKu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9da732d24d1db232 |
|
VISUAL
aHash
|
ffff1f1a18180000 |
|
VISUAL
dHash
|
fc5f7fb2b2b13cb8 |
|
VISUAL
wHash
|
ffffff3a18180000 |
|
VISUAL
colorHash
|
03e08000000 |
|
VISUAL
cropResistant
|
7cfd5f7db2b2b2b1,7db2b2b3b13c30c8 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)