Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FF619475D0214A1F72339634EC53715DC0EA921BC5662E20F7A663F53EE5FCA80B3A61 |
|
CONTENT
ssdeep
|
48:biNnscuUUidxYxU41zI3FlVrVPhk5h3QFf+xSFffwwKmwgtg+UJwM:bm6Uhr33Nyh3QNKm6+UqM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a8706859593bf5a6 |
|
VISUAL
aHash
|
0000ffffffff87ff |
|
VISUAL
dHash
|
82a6863af0475725 |
|
VISUAL
wHash
|
0000e3ffffff8101 |
|
VISUAL
colorHash
|
0e180008000 |
|
VISUAL
cropResistant
|
86863bf388577725,008292929200a0a0,8d5555557577761a,5b8aa78787a5b41a,6565660a2a6a6746,aaaacec9a9293517,9a1951424a425654,e9695494b4d6ce4c,e2e2ea4a5a4a18b4,a54544697414868b |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.