Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T124D2A8225308057EA6178BE9F3A5F73452BAC28DE26B456CB2BC03F117C3DA1D933695 |
|
CONTENT
ssdeep
|
768:lJb8uOEHVwsRzWwQPHVM48r4cfSd8zdvDc5wngm/BmXmym7mUTl:lJb9wsRzWwQPHVM4s4cqd8zdvDc5wngy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8edd227533b1c68a |
|
VISUAL
aHash
|
00183c3c18100125 |
|
VISUAL
dHash
|
d87070f061a21bc5 |
|
VISUAL
wHash
|
583c3e3c3c38037f |
|
VISUAL
colorHash
|
38000030000 |
|
VISUAL
cropResistant
|
2e515113333333cc,d87070f061a21bc5 |
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 36 techniques to evade detection by security scanners and make reverse engineering more difficult.