Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B2925EA78D9640CB3615F2D050172E79D881CC3F56F24A4CA5BFE2A4F7B28D5FA1A344 |
|
CONTENT
ssdeep
|
96:T9JJdOcPMknnBfPifofaf+rfZfdfEf1fpfknfdf9rfBfcfh9f6dfTfOfqflPKojt:9dtMknVTI6qUIQGqhOaFecERLYgp+j |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d886cbe1996317d2 |
|
VISUAL
aHash
|
7cff3e00de00409c |
|
VISUAL
dHash
|
f1b2a89292b89178 |
|
VISUAL
wHash
|
7cfffe00cf00489c |
|
VISUAL
colorHash
|
19201080000 |
|
VISUAL
cropResistant
|
dedcde321e9e1e9e,bebece9a969e8e4e,7af4f5f5f4f4d494,191e0c0c18c08088,c6da726a9a94b292,00b6f1f9c0f1f1f0,2636f6cadadbf3d1,f1b2a89292b89178 |
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.