Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18BE376534215692E4437C3D07575DB77D2A6ED8FFAA70A004EDCC7B62AEAC50B80B52C |
|
CONTENT
ssdeep
|
1536:AK6y5UgQmTa3MZo+Hd1+F0I1jjC3le2elgAmwhKqR8/315RA+:A7y5OQhj36BKBy+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9852f9af2d82c63a |
|
VISUAL
aHash
|
fd4c1c1811ffdf99 |
|
VISUAL
dHash
|
099cfcf1636e3b33 |
|
VISUAL
wHash
|
fd4c1c1001bf8f9b |
|
VISUAL
colorHash
|
070001c0001 |
|
VISUAL
cropResistant
|
099cfcf1636e3b33 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.