Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DCA398306624882B019B91C5F7B8371F62F6D3CAC6831FC976E4437D4ACDDA0E9DA265 |
|
CONTENT
ssdeep
|
1536:0C6Gs0h0GYo/o0jd1oQoO8V63bS+om2olcHToPoz691sTX3b7x:d6G10Yj98V63+Mrcf7x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6929c5999ace634 |
|
VISUAL
aHash
|
ffecf1f020e00076 |
|
VISUAL
dHash
|
32c9cfc3c3c3e7e4 |
|
VISUAL
wHash
|
ffe8e1f020e000ff |
|
VISUAL
colorHash
|
0b601010000 |
|
VISUAL
cropResistant
|
3032d9c9cfc3c3cb,d8787858de989cd8,d64a45d51b495c39,585adad2f2fafefe,e400000000000000,c9cdc7cbc3c3e7e6 |
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 36 techniques to evade detection by security scanners and make reverse engineering more difficult.