Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EF229535500C5977166385D8A3B5230A7392CE19CB431A85BAF9C35C2BCBEFBEC52369 |
|
CONTENT
ssdeep
|
192:HRtBWlbBxxIrVb1vOOsWt0ygfTu/y0+l0:HXBWlbBUrVbxOXQV+l0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
827ffe81097e03a3 |
|
VISUAL
aHash
|
010000007f7fffff |
|
VISUAL
dHash
|
c1884db8c0e00000 |
|
VISUAL
wHash
|
000081007f7fffff |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
41d08088314d8c10,acc0d0e080800000,0105054545454585,0000081010100000,5050105050904040 |
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 39 techniques to evade detection by security scanners and make reverse engineering more difficult.