Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14E03A87780C2683722C283CCE676A75AF3C78249DD1E1A1582E4D76E0AE7FD0EC5552E |
|
CONTENT
ssdeep
|
768:GVYm444jVBPoROQ8V1wkgMpxAw7+96iN1KJV:GL444jVBAOwkgMpxAw72VI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a92d273179e6cac8 |
|
VISUAL
aHash
|
03033f3f1f0f0f03 |
|
VISUAL
dHash
|
c7f7e3fe929fdfef |
|
VISUAL
wHash
|
03037f3f1f0f0f03 |
|
VISUAL
colorHash
|
0b007000000 |
|
VISUAL
cropResistant
|
86de97eec5e67dbf,c7f7e3fe929fdfef |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.