Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T190126133E600DD6A899B96CCF1C49648426AC345FB3188C6B16891FF3BC4CF069E979D |
|
CONTENT
ssdeep
|
192:Wd+0EXNABjbmxKGx1McnthWeNWb6fMmUU8VCoGWQ:q+0EXNAByfMmUFCoGWQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc4cf333f726cc08 |
|
VISUAL
aHash
|
10181818000000ff |
|
VISUAL
dHash
|
b2b2b2b210000100 |
|
VISUAL
wHash
|
fe38f8fc180001ff |
|
VISUAL
colorHash
|
01000000007 |
|
VISUAL
cropResistant
|
926a9a2e8e3331cc,0000010000000000,b2b2b2b2320c1000 |
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.