Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19D1253B1D450DD370B5685D5ABB67B2BB7E1C305CF020D5063F843AA9BCEDA0CA2269D |
|
CONTENT
ssdeep
|
192:QtYzYFfhZMP8iIgwDhFoAXeyYM3EJElI8F:QE2ZW17wwBLM3EWy8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e466939b1267257c |
|
VISUAL
aHash
|
eff3c3e3dfdfff3f |
|
VISUAL
dHash
|
08062606b83000d0 |
|
VISUAL
wHash
|
00f3c0c0c0fcfc3c |
|
VISUAL
colorHash
|
07080001080 |
|
VISUAL
cropResistant
|
08062606b83000d0 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.