Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CAE2A5FAA998207741125EC472C0775C628FC36ACF830EA423F86689D6C1DD5BE995CE |
|
CONTENT
ssdeep
|
768:pAvGOPZlIjPVhsDGmOzUd3lWGZNOH9Z2eVP5yQG2e:pAvGOLGPrsSl46A/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6416449643ebbae |
|
VISUAL
aHash
|
0000f7ffffff87c7 |
|
VISUAL
dHash
|
c8d02c2ce932262c |
|
VISUAL
wHash
|
000087d7ffff8386 |
|
VISUAL
colorHash
|
06000030000 |
|
VISUAL
cropResistant
|
f82d2ca9c136262c,30c8c823d4d0d8c0,cd8586c6d6972367 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.