Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CC62517191609E7702D3C1C5A2AAAB2F73E9CA0ACDC72A5207FCD34F0EE6D81EC25505 |
|
CONTENT
ssdeep
|
192:jRPR3RzrrwAOXnsSI6ICwCNpnpv1eBuoUT4WXvzvCkVLEvZ5KAXr:dr3HSgCDpkwoUVfzUVXr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6669999333326cc |
|
VISUAL
aHash
|
ffe7e7e7ffffffe7 |
|
VISUAL
dHash
|
5a2d4d4d2828284d |
|
VISUAL
wHash
|
0b030303071f0f07 |
|
VISUAL
colorHash
|
07200030000 |
|
VISUAL
cropResistant
|
5a2d4d4d2828284d,22e3a0d6d29a9694 |
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 26 techniques to evade detection by security scanners and make reverse engineering more difficult.