Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FFB140B0406A987F218B82E9B272EF1E7292D351CB230B4C63F863BD5FC9D89DC56154 |
|
CONTENT
ssdeep
|
96:TggvdpwUlLUALxLnxLx1+yGGM1r9NCtGda3BAxa:3vb72ALxLnxLx1+ZGMVXCGaRAxa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c477b738199730a9 |
|
VISUAL
aHash
|
0080701000c0ffff |
|
VISUAL
dHash
|
5455c4e2a2a40080 |
|
VISUAL
wHash
|
84b0721800dcffff |
|
VISUAL
colorHash
|
06006000000 |
|
VISUAL
cropResistant
|
3434a420d93ed8c8,110141101131b0b2,71cc96baba96cc70,8080c0e080c0e030,66a280e2eaa28006,26a280b4b4b08080,a2a4b40000000000,545453c4a4f2a2a4 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)