Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18DA37833411835274437C6D530A55B3BD2E69A5FFAA70A010EECD7FA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
768:dSkZh7WLz4NP3+mZY9svblTOCVrD70T4MmLRFtiuCa28y2OZL:zWLz4NP/y9svbliCdf0OFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362bd29ed42c636 |
|
VISUAL
aHash
|
00002420000024ff |
|
VISUAL
dHash
|
cc98ccccd0e8ccdc |
|
VISUAL
wHash
|
00007e743838ffff |
|
VISUAL
colorHash
|
31000000418 |
|
VISUAL
cropResistant
|
0400a081303080a0,cc92ecccd0e0e8cc |
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.