Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F273E752A30D193FA11341D5B7A9737A237A828AD68D021DD6FC037847A5CCDFA3FA58 |
|
CONTENT
ssdeep
|
1536:Q8O0KgmjAsi2uIzOF9wgh2qeYrBH5SK8K:/VpIzOFWyysZ5SK8K |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8d05923bb43af356 |
|
VISUAL
aHash
|
0f1b2113010100ff |
|
VISUAL
dHash
|
def2c3e6e6db7924 |
|
VISUAL
wHash
|
1f3f2333330300ff |
|
VISUAL
colorHash
|
1a006000080 |
|
VISUAL
cropResistant
|
3f37ffee36b63634,0fcdededfefbecca,0000000000000000,def2c3e7e2c2db71 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)