Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19FA35A33411935274437C6D530A65B3BD2A68A5FFEA70A010EECD7FA2BF9CA0745B11A |
|
CONTENT
ssdeep
|
1536:K96Lz4NP/y9svbliCd9UT0FtiuCa28y2O9:sEmADT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d247d53a9929b929 |
|
VISUAL
aHash
|
00300000000000ff |
|
VISUAL
dHash
|
c8ece4c8cc8d83d0 |
|
VISUAL
wHash
|
0cfe70007c6561ff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
c080810030308080,98ece4c8d8cd8dc3 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.