Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AAD274735145DB3F025383E46321BE59E1C3820DCBCA5604F7E8175B6FA3EA2BC265A9 |
|
CONTENT
ssdeep
|
192:IUaLa84FLsqBRb4GCdYtZglVaXDIgV0pODO5FVjzrPcQLixDIxV0Y:IJ4FlBoOtGqDII0k4XLLLqDIP0Y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3c7cc3067c63272 |
|
VISUAL
aHash
|
ee8fe7f18387ffff |
|
VISUAL
dHash
|
2a3b4c4b0f1c461e |
|
VISUAL
wHash
|
868ba7a1878783e7 |
|
VISUAL
colorHash
|
07002200600 |
|
VISUAL
cropResistant
|
2a3b4c4b0f1c461e,b058d9c9c3d65c2d |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)