Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T157527470A085AA3B1293D2E9B7765B9FF2D0C380CA67160653FD939D0BCBD85CC53625 |
|
CONTENT
ssdeep
|
384:YJ49wVd44x6SNSPJkYq/oYAfGc62fJ4QLEZAr:Yz44xdMPqw/6ULEK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cee833f0d1d483aa |
|
VISUAL
aHash
|
ff3139f0f8300000 |
|
VISUAL
dHash
|
1b6767e2e5e46c4c |
|
VISUAL
wHash
|
ff317df0fd740000 |
|
VISUAL
colorHash
|
01000008180 |
|
VISUAL
cropResistant
|
036b0b6b03cc1220,676765e2a165e5e0,a7212829328cd962,1867676165e2e261,e081070c32604e81,c021118848242425,050b170e2d1bde1c,e5e1e43c656dc9d2 |
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 24 techniques to evade detection by security scanners and make reverse engineering more difficult.