Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T198234B726732B8A843DB91EEB7382D55B2D2489DF8C74450F5C95ACE13C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aK+EsZx8/G804wDawAMjBtwTrMjB8wZCN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKk:aK+EsZ/8vwDawAMjBtwTrMjB8wcN2/ye |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3c3cc3c3c3c3c4 |
|
VISUAL
aHash
|
838181ffffffffff |
|
VISUAL
dHash
|
3f3b3f5735330333 |
|
VISUAL
wHash
|
818181839f8be3ff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
3f3b3f5735330333,6a6ae5656d6d6dfd,fffff6f4ffdeffff |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.