Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C8226033B600DD2A8D9B968CF1C49988411EC386FB3148C6B1A091FF7BD4DF069A979D |
|
CONTENT
ssdeep
|
192:Qp3J8dydM5x4mxiKxuCMcnthWeNWb7VFLfMmUU8VCoWNu:vyd3VFLfMmUFCoWNu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8d9c1339926c3ce |
|
VISUAL
aHash
|
ffdf9b838183c3ff |
|
VISUAL
dHash
|
131b23373b0f2f2e |
|
VISUAL
wHash
|
fbcb9981818183f7 |
|
VISUAL
colorHash
|
07000030001 |
|
VISUAL
cropResistant
|
131b23373b0f2f2e,100c32b2b2320c10 |
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.