Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T154524233E600D96A8D9795CCF2C4A689415DC346FB3148CA72B491BF7BD4CF129A83AD |
|
CONTENT
ssdeep
|
384:I+IyRcJD8pNGLJ/zegetfMmUFCoFgcZZKpS:I+IqGlzHcfBUsIgcZZKpS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e0709f0fbf0fa118 |
|
VISUAL
aHash
|
00e0e0e0e0e030ff |
|
VISUAL
dHash
|
029191919183e0b8 |
|
VISUAL
wHash
|
80e0e0e0e0f0feff |
|
VISUAL
colorHash
|
01000000038 |
|
VISUAL
cropResistant
|
88c888c8c8c8c1f1,f878000900000000,029191919193c2f0 |
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.