Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12EE2C5329109693F069772D1E775A39B63954389DA43072902FCCB8C1FEBC90FE175A9 |
|
CONTENT
ssdeep
|
384:BVIIsUIIIII9lJlBqaCJkY2kvEc+bjAkfLK+CKJDi1pW:fIIfIIIIInovUlfe+bL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6e1793c9c1963c3 |
|
VISUAL
aHash
|
00e1ffff7f181838 |
|
VISUAL
dHash
|
c7c7cbf3ed73f0f0 |
|
VISUAL
wHash
|
00f0ffff7f181810 |
|
VISUAL
colorHash
|
19038000000 |
|
VISUAL
cropResistant
|
f3e3d2ee9c988c0c,0000616969600000,c7c7cbf3ed73f0f0 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.