Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116D33BEF3558BDBF5063468700D9703A73A50D2E960DCDA07324DE96BAFC8929123E4B |
|
CONTENT
ssdeep
|
3072:DSihfrVAvmi8XywBDv9KUhVg/TAkgX8VMAIGvnAPBmDIN:DhfZAvmJiw1vKTAkgMzNvnAPBmcN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7c3c66c3c38b998 |
|
VISUAL
aHash
|
207c3c003038103c |
|
VISUAL
dHash
|
c4c9d8d8e4d060c8 |
|
VISUAL
wHash
|
227c3e2c3e78387c |
|
VISUAL
colorHash
|
38200000003 |
|
VISUAL
cropResistant
|
c4c9d8d8e4d060c8 |
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.