Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T162123F33A600DD2A8E9B968CF1C4958C411DC386FB3148C6B2A091FF7BD4DF169A979D |
|
CONTENT
ssdeep
|
192:hR3JidrXgzvPFxpIMcnthWeNWbefMmUU8VCoTy:4rQzsfMmUFCoW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb3ac0c0383fc7c6 |
|
VISUAL
aHash
|
dfcfa7878fffffff |
|
VISUAL
dHash
|
10106a3a18000800 |
|
VISUAL
wHash
|
0707070787ef0d0c |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
10106a3a18000800 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.