Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18BD3BC61B00616AB21B3CAD8F4703EDBA1E2EF09C20B504765FC52591FCBDF568767A8 |
|
CONTENT
ssdeep
|
768:CYR406mPwKH7cFKetiFeGJgtmNcwGPU9Z/5fPY8t1pYG1JqXpxNxg0rH4WUP1y/L:CC1i4RGKUiN+X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
892e3259d9965ee1 |
|
VISUAL
aHash
|
0001183c38184f1c |
|
VISUAL
dHash
|
d9cbe138f2f1d6d0 |
|
VISUAL
wHash
|
013d1d3c38387f1f |
|
VISUAL
colorHash
|
30000200010 |
|
VISUAL
cropResistant
|
00100cb2b2320c00,d9cbe138f2f1d6d0 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.