Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T134235B726722B8A843DB91EEF7382D55B2D2589DF8C74450F1C95ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:ae+EsZx8/G844DDawcMqB2w6FMqBXqN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAzE:ae+EsZ/8rDDawcMqB2w6FMqB6N2/y9dZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3f2fc0c0c0c23e |
|
VISUAL
aHash
|
010000ffffffffff |
|
VISUAL
dHash
|
5d71710737000000 |
|
VISUAL
wHash
|
000000c3c3ffffff |
|
VISUAL
colorHash
|
0f007000000 |
|
VISUAL
cropResistant
|
5d71710737000000,ffdff3b2e9f1b3ed |
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.