Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T187A36833411935274437C6D130A55B3BD2E69A5FFAA70A010EECDBEB1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:dFEZf7Lz4NP/y9svbliCd0q2qFtiuCa28y2O9:bMmA7J |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc12c7cc9c69713a |
|
VISUAL
aHash
|
ff0e869e9fd3f3fe |
|
VISUAL
dHash
|
e2b83c3434371388 |
|
VISUAL
wHash
|
3f1c008e9f81c3fe |
|
VISUAL
colorHash
|
07000c00018 |
|
VISUAL
cropResistant
|
e2b83c3434371388,565cdc5ed6d4f463,aa5931aaaa362e2e,d45616333216142c |
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.