Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18903B672B2487733059B45E6B1FA835B319DC288F61B139065BEC2EC13DAD19DEB7182 |
|
CONTENT
ssdeep
|
768:cSaNGPYRqcmlnWYKajqevt2S967FPVG99lwquAgiwWBimhLt2STd3:GNEYRqcm1nK8qe3967RVAlwquAgivBiu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e2f7405dc81dc875 |
|
VISUAL
aHash
|
00ffffffffff0000 |
|
VISUAL
dHash
|
a80c0c10008900a3 |
|
VISUAL
wHash
|
00ffffffff000000 |
|
VISUAL
colorHash
|
17003010000 |
|
VISUAL
cropResistant
|
080e0d0c14160c0c,6464646b525b5ba4,0084849696840041,000000000012a3a9 |
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 72 techniques to evade detection by security scanners and make reverse engineering more difficult.