Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T123324033E200DD2A4DAB468CF6C09989415DD34AFB3148CAB1A091FFBBC5DF165A879D |
|
CONTENT
ssdeep
|
192:cxkbydmjWlrfgbdoXQMcnthWeNWbyfMmUU8VCokl:KmjWpfIyXqfMmUFCokl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a773d80cf30bcc8c |
|
VISUAL
aHash
|
00003b27373777ff |
|
VISUAL
dHash
|
88cce2cbefe5e6e6 |
|
VISUAL
wHash
|
00200b27373777ff |
|
VISUAL
colorHash
|
070000081c0 |
|
VISUAL
cropResistant
|
88cce2cbefe5e6e6 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.