Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E0235B726722B8A843DB91EEB7382D46B2D2489DF8D74514F5C95ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aJ+EsZx8/G8Y45DaweMKBuwcMKB/r82+/9dtZkDieE565TmHEnkvdhfVPqDv3AzE:aJ+EsZ/8L5DaweMKBuwcMKBT82+/9dty |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ff7f7f18808080e3 |
|
VISUAL
aHash
|
000080ffffffffff |
|
VISUAL
dHash
|
79717d103b381b33 |
|
VISUAL
wHash
|
000000cbefdfcfdf |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
79717d103b381b33,ffcff3b3edf1f7ff |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.