Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CCA3DE274119352B4437C2D134AA5B3BD1A6D98FFBE609010EDCCBF66AF9C90B46B21D |
|
CONTENT
ssdeep
|
768:mj3eSitpR4nXF6YjOpSpFlTC6rrWjh6gF4lwrYR8Mh3woQ:mj3StpR4nXBKpSpFl26vKh6O46YP3woQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f52f69259f10e02e |
|
VISUAL
aHash
|
0081f5efbff240f8 |
|
VISUAL
dHash
|
5363890c2a829612 |
|
VISUAL
wHash
|
0081e5ffbef240f8 |
|
VISUAL
colorHash
|
0a001400018 |
|
VISUAL
cropResistant
|
c0c0d032589a7efa,ccd3cec787c6e37b,4000806060c00098,f2d0b0e4e6fce481,939955d6c5c4c3a1,c0008060608000d0,8200a06060800088,80008080a0808080,333161d397a78786,b2b2723212824010,5363890c2a829612 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.