Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B52201B181AA343B51B794C2B1BA9F2B31E2834DC7034A15A3FC53B66BCEE48FC55495 |
|
CONTENT
ssdeep
|
192:qVuKEKKQcLKIX1LFY8ezqmZKZO751OW2cJ:qarBOTOuJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d963668c9a9933cc |
|
VISUAL
aHash
|
1810181818181818 |
|
VISUAL
dHash
|
b2b2b2b2b2b2b2b2 |
|
VISUAL
wHash
|
18587c7c3c3e3c3c |
|
VISUAL
colorHash
|
31000180001 |
|
VISUAL
cropResistant
|
1e5bd3f2f32d0e31,b2b2b2b2b2b2b2b2 |
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 248 techniques to evade detection by security scanners and make reverse engineering more difficult.