Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15D82D9A65190E37E0843C1ACFE2160A4634F90FFF6D6F2D8F6ED8B65648BCC4E586524 |
|
CONTENT
ssdeep
|
384:hME7bBW7wV7IOqV7wV7AmX7X7R2NjaNcFK:hMERWsVRqV0V1XrlkaNcFK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc9c09834bee62e3 |
|
VISUAL
aHash
|
ff0e8090ffffff00 |
|
VISUAL
dHash
|
323c35242e4d228a |
|
VISUAL
wHash
|
bf0e0080ffe7fb00 |
|
VISUAL
colorHash
|
07000000380 |
|
VISUAL
cropResistant
|
333c3525364d262a,0200010100000000 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.