Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14C516532B050243B1B43439E2E65676FB39B968EE367891196EB534D2B40E978E2E450 |
|
CONTENT
ssdeep
|
48:TgQ361SQ6l2WUlnPmVyxBObDQZT+W7ypBWAOn4EAaMKh7SRWgvpo:TfJVN++dCP6f47Sogvu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
87542976349acb67 |
|
VISUAL
aHash
|
c0c03c3e263c3f03 |
|
VISUAL
dHash
|
120c686c4c696b17 |
|
VISUAL
wHash
|
c0c0bc3e3e3d3f03 |
|
VISUAL
colorHash
|
38000600090 |
|
VISUAL
cropResistant
|
120c686c4c696b17 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.