Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10CC29431A1002B3752D782DEB662672E52E3430EEA87065652FD83AD1BE3D54DE3352E |
|
CONTENT
ssdeep
|
384:TSQeprbiIRx3YebZiSxynxp1TWT0n8yMRNxLhzIYsOy2+y9BH4cCUIe:mQeprkSop1TWoeJL57sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d246dd3a9929a9c9 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
18ccc4c8cd8d8300 |
|
VISUAL
wHash
|
0cf430006465ffff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080800030b08000,18ccc4c8c8cd8d83 |
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.