Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T143E142E1D045ED3B471286C5EBBA6F5B7691C70ADB070A4093F482ABABCAC60CB1558D |
|
CONTENT
ssdeep
|
96:TkmnbzH71tDlUG9aw5t7yLwvFmehX6HFoeJXxX/Wyt706rt7DhJ:QmnbzH715lUGow5gCUd7X+yCG1n |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecec53931b43c31a |
|
VISUAL
aHash
|
fff3f3fbffff0000 |
|
VISUAL
dHash
|
0626262628000400 |
|
VISUAL
wHash
|
f383f1f19fef0000 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
0626260626280406,7a1d6a724824da06,0000000000000000 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.