Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T178234A726322B87883DB91EEF7382D56B2D6589DB8C74414B5C99ACD23C3C817193BB4 |
|
CONTENT
ssdeep
|
768:aD+EsZx8/G8y4VDatHMmB2trMmBO7Ucix+y9dQpUDF1E56ITmHDLBABW8KPqDvt9:aD+EsZ/8FVDatHMmB2trMmBO7UXx+y9+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be6b6b9084916b6c |
|
VISUAL
aHash
|
810000ffffffffff |
|
VISUAL
dHash
|
7171512936173323 |
|
VISUAL
wHash
|
00000081dfdfffff |
|
VISUAL
colorHash
|
17006000600 |
|
VISUAL
cropResistant
|
7171512936173323,0c30b26170323208 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.