Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10CD174E1C514CD37436285D9EBF56B1BB6D2C309CB02098053F843EB5BDEDA0DA25AA9 |
|
CONTENT
ssdeep
|
96:TkjgzeFMSmtVSTkhUSPRhtcJtk+wvFYeHBXjIHFOelXWz/8QGJ:QjgzejhGf2J+LHtIL4zNA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
da55a5525aada18b |
|
VISUAL
aHash
|
fcfcdfdcfcfcffff |
|
VISUAL
dHash
|
244032b109090000 |
|
VISUAL
wHash
|
d0c0c0d0c0e4ffff |
|
VISUAL
colorHash
|
07281000040 |
|
VISUAL
cropResistant
|
244032b109090000,48ef899f17878f9d,074f972ba3974d17 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.