Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T111A38621A451AA27409B96C4927A275B32F19349C7230ADDF7F883FA5BDFCB4F923144 |
|
CONTENT
ssdeep
|
1536:FL44iZY9D6KT2vKIc+ZuUBsPHK9sJG9iK6mJLeeeeeee4eeeTeeeKRyv1Rv1fvKs:FSFseFoR/yj37T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea3eb54955994256 |
|
VISUAL
aHash
|
01c1f1f1f071ffff |
|
VISUAL
dHash
|
132f23a3c3c3e30c |
|
VISUAL
wHash
|
0081c1f0f070ffff |
|
VISUAL
colorHash
|
060030000c0 |
|
VISUAL
cropResistant
|
3b2f23a3c3c3a30c,000026d4d4462100,8bc9cb4783838383,978f4d070f2b1f7f |
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 195 techniques to evade detection by security scanners and make reverse engineering more difficult.