Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1290252E1D450DD360B1385C5EBB67F6B76A1C30ACB431A4053F4936A6BCAD70CB2159C |
|
CONTENT
ssdeep
|
192:QUfRJnbzH715iUhdIMnfewk3iEpxHOxHOxHr8F:QUZpb1h+MnWwk1HWHWHr8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a17929dc82de82f6 |
|
VISUAL
aHash
|
c381c3ffe7ffff7f |
|
VISUAL
dHash
|
33130f080e4008d0 |
|
VISUAL
wHash
|
808080e0e4fcfc3c |
|
VISUAL
colorHash
|
07006000000 |
|
VISUAL
cropResistant
|
33130f080e4008d0,f16d6d65212d0d4f |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.