Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AAC42BF093D19AFB50839BE4B460F39AE15B557AEB67E94CE3CC8B157BDAC1A8C00450 |
|
CONTENT
ssdeep
|
3072:fJIaCfX6YZEOZeiHPCuuUZs5RNL4ZujVgub5tIZ/rvLfqL5XZEfZeiHPCuu1Zs5o:fJIaqX60+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fe00fea200fc81fe |
|
VISUAL
aHash
|
76001c1c04bcd0c8 |
|
VISUAL
dHash
|
d46c7031cd503430 |
|
VISUAL
wHash
|
fe003c1c07fed8d8 |
|
VISUAL
colorHash
|
30000018400 |
|
VISUAL
cropResistant
|
a8a0f5f0f2585885,d46c7031cd503430 |
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 47 techniques to evade detection by security scanners and make reverse engineering more difficult.