Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FF535DE93741F2254A7301E741AF3415733D752B2C4C09A0E26DE9DAE5B48EAB05BFC9 |
|
CONTENT
ssdeep
|
768:FrOYjlUCodaetmS0ZNTpipGMB8v5Wv+M4yTMHDIv6RGz48KBoUzqH4+K+uQG/m4:Z6CfXppwzev0WyTaJDQU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b18f8e26319bce26 |
|
VISUAL
aHash
|
fffff7c3c3c7efef |
|
VISUAL
dHash
|
4e100e9e968e1c1e |
|
VISUAL
wHash
|
00dfc7c3c3c3c3c3 |
|
VISUAL
colorHash
|
07200200030 |
|
VISUAL
cropResistant
|
4e100e9e968e1c1e,d8d898dad8d8c800 |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.