Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T137A2DA774044D2BA90C3A3E16A31065AE69DF370FB5746065BF04F1DCEA9F6ACC81A62 |
|
CONTENT
ssdeep
|
192:Gun5+GABXELib+brmVvqq7tqW5BMB8x6PacLlOojQoz+NiCZwnBX4Y9x2kk9TO6+:3YNBXELiy/Y+nPacLxzSqnqtzpm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0e09d9fbf90b8e0 |
|
VISUAL
aHash
|
ff00f46000000000 |
|
VISUAL
dHash
|
308184c4cc33e0c4 |
|
VISUAL
wHash
|
ff60f4f42018707e |
|
VISUAL
colorHash
|
38007200040 |
|
VISUAL
cropResistant
|
30003030b0b00010,728484c4ccb3e0cc |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.