Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BF6439F953A853F0D6474BE4ED712945732A20FEBFD08A88836189E0F5725CDE47ACA1 |
|
CONTENT
ssdeep
|
3072:W1BKze6lQDThxHgDw/4Q1pSBn1pSBy1pSB61pSBo1pSBafoi2cluAk5:W1ADw/47g7/tj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e2c6197cf98ca34 |
|
VISUAL
aHash
|
00003c3c3c3c0000 |
|
VISUAL
dHash
|
223579616969390e |
|
VISUAL
wHash
|
1b003c3c3c3f0fe7 |
|
VISUAL
colorHash
|
0e401000400 |
|
VISUAL
cropResistant
|
c0c0d0c080808088,223579616969390e |
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 817 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)