Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E52265714004AC1F3B8391D99FE2AF0AC652C329DD431A85A3D59A9D5BEAE70C88E771 |
|
CONTENT
ssdeep
|
192:mn4KAAuTcaquih1hjFe0EIEjOctjTtoo+RntGEIHOEIGS:Hxq5pFjEIwkGEIHOEIx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ca91956e936aa566 |
|
VISUAL
aHash
|
fffff0fcf0f0f0fe |
|
VISUAL
dHash
|
f0e1e5e9a5e7e5e8 |
|
VISUAL
wHash
|
7e7e70707070707c |
|
VISUAL
colorHash
|
07200008043 |
|
VISUAL
cropResistant
|
f0e1e5e9a5e7e5e8,8aa28cccb2aaae8c,aaa2a2a0b28e8e0d |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.