Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T158418D6820441C375A63AAC97890FB59A98BE71FCE4BC650C3BB42D92FF3DE19C10476 |
|
CONTENT
ssdeep
|
24:hRxj6p9CshGeFUwMxwMLwMiwM+lyy2XSBZjlm3pEr22jlm3pEQN9KP2hBgJcJOkn:TxIesxvlSxp1m3Ahm3PHVn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d57d7f7e80802a2a |
|
VISUAL
aHash
|
000000ff18ffffff |
|
VISUAL
dHash
|
0000018010000000 |
|
VISUAL
wHash
|
000000ff00ffffff |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
808080888c8080c8,0000009100100010,0011102188b21180 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.