Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T126B294700022253B364359DBB164636EB0D3E24EEF538C4CA2FD175A2FE6DD2DC89656 |
|
CONTENT
ssdeep
|
192:bCBL1YK2JglgezbgeWY1+fF4+pF4+kF4+KF4+4F4+MFEDJZ5i/Fk4s:c1YbglgezbgeWY4FxFsFiFQFEF25iG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c4d53bdb84a690ab |
|
VISUAL
aHash
|
00007e7e7e7e0000 |
|
VISUAL
dHash
|
cc8acca6a6c80a0d |
|
VISUAL
wHash
|
0000ffffffff0000 |
|
VISUAL
colorHash
|
07c00000000 |
|
VISUAL
cropResistant
|
0008103030081000,8c88a6a623a2c080,cac8cca6a2d00b88 |
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 11085 techniques to evade detection by security scanners and make reverse engineering more difficult.