Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T186E1F2E1D014ED37436386D9B7F62B1B76E1C349CF02094493F883AF5BDAC60DA22999 |
|
CONTENT
ssdeep
|
96:TkfW1DtSTBEWhUSPRr8v673v4SF8l0OXqHl7exMXTE/K13z7mSTyR:QfW1DcVB8izlF1EOz7Dk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
999973f6d80ca6a2 |
|
VISUAL
aHash
|
bc3c3c1cff000000 |
|
VISUAL
dHash
|
71b23132320c3000 |
|
VISUAL
wHash
|
bcff3f3eff000000 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
71b232313232320c,2824800880000080,0300104809840400,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.