Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13EB309F433201BBEC0DB87F8B3B57ABA625AA2D4DB43D905E3DC43521AC6C68CC55691 |
|
CONTENT
ssdeep
|
768:d0CKRZBZcD4fNTQMR1Y/ha5drD7RjTXk9KjncRZf5E+c1BIfbjO/7WbnTrbzd6Ld:USD49Qqct3/nk6kvpwGhVrtyQj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cdc736309939cccc |
|
VISUAL
aHash
|
0030381818180000 |
|
VISUAL
dHash
|
906872b2b2b06870 |
|
VISUAL
wHash
|
7e3e3e3878783818 |
|
VISUAL
colorHash
|
380060000c0 |
|
VISUAL
cropResistant
|
906872b2b2b06870 |
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.