Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T120E10EF1D040ED3B035385D9B7BA6B0B7691C749CE030A4597F883AFABDAC60CB12599 |
|
CONTENT
ssdeep
|
96:Tkw1nn7D71tVt8v67Zvji8Ewyt1oVJwvFge5XBHFVeJXRX/iytgTj6fq2J:Qwn7D71Tt8ic8Ewy4CveTXKy6/aqw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4e4439b1b9b45e4 |
|
VISUAL
aHash
|
fff3f3dfffffff00 |
|
VISUAL
dHash
|
2026263630400000 |
|
VISUAL
wHash
|
0c00000000000f00 |
|
VISUAL
colorHash
|
07000000078 |
|
VISUAL
cropResistant
|
2027263630040000,138d31794c303919,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.