Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T174444030E1839D37B1A780D0A360EF5B73D5839AD6174F0A17F8539EABCAD81EC15989 |
|
CONTENT
ssdeep
|
768:VG5ku6hCK3NqnNBlAwm1QrzOnOgajs2qYZ5pK97AB:06hCK3NqnNkM1K97AB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b91bc7c6cb383c81 |
|
VISUAL
aHash
|
34008381c3c3c3ff |
|
VISUAL
dHash
|
444c3b3b1b2f2b12 |
|
VISUAL
wHash
|
3f008381c3c3e3ff |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
205a546454578c4c,3b3b3b1b272b222a,000100030b0b0002,23c4c4c434140300,ebcdddb99bbdcdcd,cdcc0f11941e9a96,0024697161611620,25ecdb3261631f0f,c36179d3e35a1f3f,79d162c4455b1f0f,c2e08095a6c78f1f |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.