Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T165D28436A280673B81A7C2C8B321672EB2D7838DEF97191153F8839E1BE7D10DD53426 |
|
CONTENT
ssdeep
|
384:Be/G6jdviRNAvUXZoW7IS+OmH3pygV+SWrXIme0qIYsOy2+y9BH4cCUIe:Be/G6jj706w9BUmen7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d272fc3a8169c5c3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c2c4848cd4d9b00 |
|
VISUAL
wHash
|
00c4e0380f07ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0080800458988000,9c2c4848d9cd4d1b |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.