Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T172A36933411935274437C6D530A55B3BE2A6DA5FFAA70A010EECD7EB1BFACA0744B11A |
|
CONTENT
ssdeep
|
768:V8y5Na9V6Lz4NP3+mZY9svblTOCVrZSuhbVFtiuCa28y2OZL:iV6Lz4NP/y9svbliCdZFFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ac7cd92383992 |
|
VISUAL
aHash
|
3f0b8fcffff1f8fe |
|
VISUAL
dHash
|
e3b63c3c3c1212d8 |
|
VISUAL
wHash
|
13030f8fcfc0c8fe |
|
VISUAL
colorHash
|
07006000018 |
|
VISUAL
cropResistant
|
e3b63c3c3c1212d8 |
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.