Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T167C2A731F1503A3F42B783C97755E72A67D24748FA02091256FC93AC1BE7E94EB23625 |
|
CONTENT
ssdeep
|
768:gGy5NXoxPYPTv47jbS2MeFl87sOy2+y9BH4c1Ie:SszS2rg7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363f53a904cbcc5 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
9ccbc3c8cd49c100 |
|
VISUAL
wHash
|
44f378002501ffff |
|
VISUAL
colorHash
|
31000000c00 |
|
VISUAL
cropResistant
|
c200a00158d88000,9cc9c3c2c9cd89c4 |
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.