Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1000364BFB1196C7F4087A5C686A4B13D33C24A5CDA46C7A852BDC7547FFAC609E1280B |
|
CONTENT
ssdeep
|
384:3hjP03z8KqIIJCqfIIIII9alBFdUaMyDaK/O53tv89lPRBpW:RjP03z8KqIII2IIIIIoUabD//OZt09nu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
86e3711c1c39e7c6 |
|
VISUAL
aHash
|
00e3f7ff7f381818 |
|
VISUAL
dHash
|
97cfcbf3e5e1f0f0 |
|
VISUAL
wHash
|
00e3f3ff7f381810 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ca9c888c0c,0010686171680000,97cfcbf3e5e1f0f0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.