Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C4122705A6823CE340334FA16626AAE366C0554A8F17497011EC4FEFF1B9DF89D3E6D8 |
|
CONTENT
ssdeep
|
48:pSt6ADH3CyM1DHR31DHWf61oC1oo1DHGyM1DH3G23HZDDK4iBFBLQBJBEDH3Gf5/:RvLUSzR+YG5DmG+7Mk7Bbkh0oz0S/z |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e434349b9364ccdb |
|
VISUAL
aHash
|
c3c3c3c3c7c3c3c3 |
|
VISUAL
dHash
|
969696969e96968e |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07000000018 |
|
VISUAL
cropResistant
|
969696969e96968e,3434b6fdae929514,73e339d9e3b3d26c,c4f4848ca0726626 |
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)