Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T120B2A3700022253B364359D7B1A4636EB0D3E24EEF538C8CA2FD175A2FE6DD2DC89656 |
|
CONTENT
ssdeep
|
192:bCBL1YK2JglgezbgeWY1+fF4+pF4+kF4+KF4+4F4+MFEDJZ5e/Tk4s:c1YbglgezbgeWY4FxFsFiFQFEF25eA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c4d53bd984ae90ab |
|
VISUAL
aHash
|
00007e7e7e7e0000 |
|
VISUAL
dHash
|
cc8acca6a6c82a0d |
|
VISUAL
wHash
|
0000ffffffff0000 |
|
VISUAL
colorHash
|
07c00000000 |
|
VISUAL
cropResistant
|
0008103030081000,8c88a6a623a28080,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.
Pages with identical visual appearance (based on perceptual hash)