Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T103235A726722B8A843DB91EEFB382D56B2C5489DF8C74450F5C95A8D23C3C916287BB4 |
|
CONTENT
ssdeep
|
768:ah+EsZx8/G8vRF4EDawMMcBnwhMcBur82+/9dtZkDieE565TmHEnkvdhfVPqDv3n:ah+EsZ/8pOEDawMMcBnwhMcBa82+/9dw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ebbcb4c3e58491c4 |
|
VISUAL
aHash
|
8181818181818181 |
|
VISUAL
dHash
|
4971715549494155 |
|
VISUAL
wHash
|
ff818181bdbdb181 |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
4971715549494155,32f032c0c4d4c4c0 |
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.