Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17EA36933411935274437C6D530A95B3BD2A7D94FFAA70A010EECD7EA2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:tDYd4ly+DnCLxDOLhqF5CkcWs2lQZefSbLz4NP/y9svbliCdJ3FtiuCa28y2O9:zmAqs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362d53adc29bc49 |
|
VISUAL
aHash
|
00200000000000ff |
|
VISUAL
dHash
|
8cccc0c8c9efd2d2 |
|
VISUAL
wHash
|
40f478302c077bff |
|
VISUAL
colorHash
|
31008000e00 |
|
VISUAL
cropResistant
|
0480810030108080,9cccc0c2c8cd2fd2 |
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.