Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EA134AB26331B87843DB92EEF7382956B2D64499F8C74514F1C99ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:atDA9+EsZx8/G8opDVSoMDBjSLMDBF3Ucix+y9dQpUDF1E56ITmHTCd3m6DPqDvB:atDA9+EsZ/8sDVSoMDBjSLMDBF3UXx+8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be2f3f1ac4d0c0e2 |
|
VISUAL
aHash
|
010081ffffffdfff |
|
VISUAL
dHash
|
7b735d1765313545 |
|
VISUAL
wHash
|
00000183dfdfcfff |
|
VISUAL
colorHash
|
06000038000 |
|
VISUAL
cropResistant
|
7b735d1765313545 |
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.