Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T197235422D7531912507BC1D8F173478E2291868CC7574B75A3BE63BAB9CFCB67A12288 |
|
CONTENT
ssdeep
|
768:Bm9+fuiee+eueeveelyeeYP2l248qo2NIeXz57r64pXjeleFGfWeegbeeeFWe/ho:kdiee+eueeveelyeeXl/oCIeXz57r64a |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96693812ed65659b |
|
VISUAL
aHash
|
003c3c343c3c3c3c |
|
VISUAL
dHash
|
2479544d696d6969 |
|
VISUAL
wHash
|
083c3f3c3c3c3c3e |
|
VISUAL
colorHash
|
03000038000 |
|
VISUAL
cropResistant
|
2479544d696d6969,8cd4945454dc5d11 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.