Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16F53867090009937019763E2B1356B6B62F29348DB231A5877F8C75D9FCBEA4CF2A764 |
|
CONTENT
ssdeep
|
1536:mGn7Y0jf2ff8S/+pUBXhIV6jkIME7TSy9+CkII:mGn2ffLIIME7tnXI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9cf6b6c0b6346c15 |
|
VISUAL
aHash
|
ffff00000818000e |
|
VISUAL
dHash
|
242d7079f1b3d0f6 |
|
VISUAL
wHash
|
ffff100018581e3f |
|
VISUAL
colorHash
|
1b206008000 |
|
VISUAL
cropResistant
|
040444002723202d,33c4c4344404a454,6c707979b392d4f2 |
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 48 techniques to evade detection by security scanners and make reverse engineering more difficult.