Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17FA31F30B060A927419FB6D6D635032923A3E34ADA4307E9F7B4D3758BCEDA4CD57268 |
|
CONTENT
ssdeep
|
1536:57FBAdXOMs2R3DZE2GONOVfz/8Wfm4vVfihATKawYXqCF:57FcOM1DZE2GewLhEQKafXq0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9b5964a35685669 |
|
VISUAL
aHash
|
c0fffbfbc1f0f1f9 |
|
VISUAL
dHash
|
0820a6b2bb819313 |
|
VISUAL
wHash
|
00fff3d3c0c0d1f8 |
|
VISUAL
colorHash
|
06006200040 |
|
VISUAL
cropResistant
|
0820a6b2bb819313,40605e6961566040,3b1b0c8c1f2b6b47 |
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 79 techniques to evade detection by security scanners and make reverse engineering more difficult.