Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C1235BB26722B4A843DB91EEF7383D56B2D1489DF8C74410F5C95A8E23C3C916297BB4 |
|
CONTENT
ssdeep
|
768:a6+EsZx8/G8c4ADawAMhBxwqMhBgwZCN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAZ:a6+EsZ/8nADawAMhBxwqMhBgwcN2/y9M |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
afb0f191c4c5d1d1 |
|
VISUAL
aHash
|
8181818181818181 |
|
VISUAL
dHash
|
6971696161696161 |
|
VISUAL
wHash
|
ff8181919d9199b9 |
|
VISUAL
colorHash
|
19007000000 |
|
VISUAL
cropResistant
|
6971696161696161,f4f0cce0f0cce0e0 |
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.