Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T115526033A600DD2A5D9756CCF2C4A689415DC346FB3248CA71B491BFBBC1DF069A83AD |
|
CONTENT
ssdeep
|
192:nA3JIdTRcmkkkXoZkUyt+/NxFMcnthWeNWbNLDXxwReOeBfMmUU8VCoG:hTRcmDZkZAoxwReOeBfMmUFCoG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e1619c6e9f1ca11e |
|
VISUAL
aHash
|
00e0e0e0e0e070ff |
|
VISUAL
dHash
|
82c9c9c9c98bc078 |
|
VISUAL
wHash
|
e0e0e0e0e0e0fcff |
|
VISUAL
colorHash
|
02000000038 |
|
VISUAL
cropResistant
|
80c0c0c0a0e081e1,f878000900000000,8289c9c9c9cb82f0 |
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.