Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11CE17533D264891B220AD280A0D6B6678912C557EF224D19F3F04BC9FD9AFADF1B300C |
|
CONTENT
ssdeep
|
96:HWAvXSGg7Nf05iMHzUtLLyGmJNSDPkvvRmxWHip/V0rr:Zv87Nf0JwR0IxF4r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
951f78961b708736 |
|
VISUAL
aHash
|
1e9e0e1a3e7e424a |
|
VISUAL
dHash
|
70747cd0f4d69696 |
|
VISUAL
wHash
|
1e9e0e0e3e7e464a |
|
VISUAL
colorHash
|
16c00008000 |
|
VISUAL
cropResistant
|
fcda5bf0f0f094fc,08c2607c3e5e260e,cf3cf0e1878780f0,70747cd0f4d69696 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.