Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19873657A50394637DB83D3847C76A71B768B8A49BB165F064AF813B40F8EC84CE39D48 |
|
CONTENT
ssdeep
|
1536:5Pg1c74TvHkI404Xd1cifg+pq+qpHVfYfewBl4U:2WfWHkBl4U |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b46669b6426d936 |
|
VISUAL
aHash
|
203c3c203c3c0c80 |
|
VISUAL
dHash
|
4971714858595906 |
|
VISUAL
wHash
|
343c3c3c3c3c3cf8 |
|
VISUAL
colorHash
|
00007000000 |
|
VISUAL
cropResistant
|
f0f8fc7efeee4e4c,4971714858595906 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.