Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C77264629058A93B13A3D6D8B7F1E75FEB41D18CC8C2018BD1E5D39C1FE2DA1EC2A615 |
|
CONTENT
ssdeep
|
192:ipJOBtnFbOC/6ZwtKxfzUQnDBeZ3OBAOBoIOB+OBAOBk8VXpKa55cTBrlL:hFCCigKxfzUQnDBeZv5VXpKa3IBBL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e51e9a61a463699e |
|
VISUAL
aHash
|
809c84c3e3e1e3ff |
|
VISUAL
dHash
|
33382c0647470f30 |
|
VISUAL
wHash
|
809c80c3e3e1e3ff |
|
VISUAL
colorHash
|
06000000180 |
|
VISUAL
cropResistant
|
33382c0647470f30,5533535b53412604 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.