Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DE23A67262211837617FA3DAF415B74591E3E71FCA8257E2E1F863760ACAC22FC03916 |
|
CONTENT
ssdeep
|
768:OCtXWoyr8WHrGGfIbyAvBRbh5c/0pbdiEK:OCtXWoyrLHVfIXXM/0p5iEK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b03230cdcfcd3cc9 |
|
VISUAL
aHash
|
c7c7c7cfffdfdfdf |
|
VISUAL
dHash
|
9e0d0f1e20363636 |
|
VISUAL
wHash
|
028783c7dfc3c3c3 |
|
VISUAL
colorHash
|
07200018000 |
|
VISUAL
cropResistant
|
9e0d0f1e20363636,261494d44455cc54 |
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 239 techniques to evade detection by security scanners and make reverse engineering more difficult.