Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117235BB26732B8A843DB91EEB7382D46B2D2588DF8C74514F5C95ACD13C3C806297BB4 |
|
CONTENT
ssdeep
|
768:ac+EsZx8/G8E49DawpMSBtwFMSB4wZqN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAq:ac+EsZ/8/9DawpMSBtwFMSB4w0N2/y9X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee6e3991c69690c5 |
|
VISUAL
aHash
|
8181c3ffffffffff |
|
VISUAL
dHash
|
2b332b6767020000 |
|
VISUAL
wHash
|
81808080a1ffffff |
|
VISUAL
colorHash
|
0e007008000 |
|
VISUAL
cropResistant
|
2b332b6767020000,419ccc7032696816 |
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.