Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T131A21927F184192A02437591FB1279D3D53D858CD332F6B0D9B8D2E233D2DF885BA6A9 |
|
CONTENT
ssdeep
|
384:FJrJ7bJLQb3CASUVOlQAFeNCZUXmykc4cLBCn3u4r9hE73kReHMmf:FlRb5QbzwQAFeD4c4n+4BhW0Rx+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2d275652b0b616f |
|
VISUAL
aHash
|
20ffff7f00000000 |
|
VISUAL
dHash
|
ccece9f971e0e1c8 |
|
VISUAL
wHash
|
f4ffffff00301000 |
|
VISUAL
colorHash
|
30007200040 |
|
VISUAL
cropResistant
|
491a92c9969a9414,ccece9f971e0e1c8 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.