Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T177425330A06154BF12176AE4B2A05F8EB5D2E34FC517D9A8E3FD43999FC3E90CE51862 |
|
CONTENT
ssdeep
|
192:74mDdc4OagKOtFO66HOkTM3Jdxm5wYBCxSK+:smBzxg9tkTurdxm5b0xSK+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e49b9b4c9b249b31 |
|
VISUAL
aHash
|
ffc3c3c3c3c3c3ff |
|
VISUAL
dHash
|
0a1615161614160a |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07600010040 |
|
VISUAL
cropResistant
|
0a1615161614160a |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.