Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18F5196714642DD3A4187D0E49AB0571FA2C8D35DCAA3AF4A42F8C32C6FDBCE1EE45250 |
|
CONTENT
ssdeep
|
48:Tp2v0w4VcVB1s92zvwmjg8mOgSmOgymOgdmOgMZElEnx:TVWB1KAkPz9zdzEzw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ae3e3e3c38399191 |
|
VISUAL
aHash
|
8181ffffffffffff |
|
VISUAL
dHash
|
332b882910000000 |
|
VISUAL
wHash
|
0000e7fff0f0f0f0 |
|
VISUAL
colorHash
|
07203000000 |
|
VISUAL
cropResistant
|
332b882910000000,b31b71f1eee46666 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.