Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FA72A536A110342F47A30BE9F122B72878E3865DC64309D665FC92E62FDEDD0FE52249 |
|
CONTENT
ssdeep
|
192:zwVXvNC3FPs6q/sRgZImYuJDdoCj2KSo2MjbnBLQ:evNCVU6q/46vpoCjVP2Mj2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
94eba47923915ecc |
|
VISUAL
aHash
|
00fdbf6f00007f06 |
|
VISUAL
dHash
|
3b2174dd19b4b4a6 |
|
VISUAL
wHash
|
00ffff6f80007f06 |
|
VISUAL
colorHash
|
31601008000 |
|
VISUAL
cropResistant
|
8a8e8ccc8ecc54d5,c3878f9b397beedb,3b2174dd19b4b4a6 |
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.