Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T100A34833411935274437C6D530A55B3BD2A6DA5FFAA70A010EECD7EB2BFACA0744B11A |
|
CONTENT
ssdeep
|
1536:5gPfLz4NP/y9svbliCdlo0ilWFtiuCa28y2O9:y7mACot7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9363f53ad528b04d |
|
VISUAL
aHash
|
00000000000400ff |
|
VISUAL
dHash
|
1c4952d0f93d71f8 |
|
VISUAL
wHash
|
02ff1f180c0f18ff |
|
VISUAL
colorHash
|
11008000c00 |
|
VISUAL
cropResistant
|
69290001387080a0,1c4942d0f0f93d71 |
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.