Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BFD120B09118ED3791E3C2C462B6677B71D2C2D6CA4B031257FC432C9BE2DD9ED26694 |
|
CONTENT
ssdeep
|
96:T3xwquowZBQw6VwfZjcqvucMXiO7RcZDbsyFG7/e2loE+cXPaiONz3Kx:zmqIXtxxPWJiOdIDbPE7pouM3E |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c9a32363633339b |
|
VISUAL
aHash
|
243c18003c000000 |
|
VISUAL
dHash
|
4d32b26069301000 |
|
VISUAL
wHash
|
bc3cdf3c3cff0000 |
|
VISUAL
colorHash
|
38000000180 |
|
VISUAL
cropResistant
|
4d32b26069301000 |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.