Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15CA25370A0005C7F62D7E6D892AAAF07E3C9CA50DB16034292EAE7694EF7DB1DC15352 |
|
CONTENT
ssdeep
|
192:GHgOykM/J9Q5TfQSERFy2PAGFvvmCv3ENY+Ix2OTfQSERwGaVky2nTlx3OXeRK26:GHgO1MzEQSEj7FB0NtIfQSE1Gkf3OXkW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cfa43093b1cdccd2 |
|
VISUAL
aHash
|
ff01313838383800 |
|
VISUAL
dHash
|
3f67e7636161611f |
|
VISUAL
wHash
|
ff333b393c3c3800 |
|
VISUAL
colorHash
|
02001200030 |
|
VISUAL
cropResistant
|
007fbf7f67e7e367,c3f2f230f0d3e0d0,1f67e763e161611f |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)