Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18FB23F530109A6D5C5F30185502442A171CAAF8DDA708B708AFD8E7A1BE7E512FB5FFE |
|
CONTENT
ssdeep
|
384:gOcbqtlZf2S1cFre+Xdw2N3/fZIiL891KbIB644Firhgg:3cbez6PBMfKbvtg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec2d954a5a93b992 |
|
VISUAL
aHash
|
f3f393f1b1f1fbfc |
|
VISUAL
dHash
|
4726376363331619 |
|
VISUAL
wHash
|
b09393b0b0f1f0fc |
|
VISUAL
colorHash
|
070030000c0 |
|
VISUAL
cropResistant
|
4726376363331619,5a5d1c6f66466f0c |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)