Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E54220B19044A93B16A3C6E9F3B2F74AFB8185C5C982058BD5E5D35D2FE3E71EC0A211 |
|
CONTENT
ssdeep
|
192:GGqNFuO/5FwtF5iO4kOqO4HOg+OnAwNpVLPrt1wA+:8f9/KF5ibk13H9+gAypVDpuh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fe5e696161681e94 |
|
VISUAL
aHash
|
80809c80ffffffff |
|
VISUAL
dHash
|
2b38303003202024 |
|
VISUAL
wHash
|
80809c80fcfcf8f0 |
|
VISUAL
colorHash
|
07002000180 |
|
VISUAL
cropResistant
|
2b38303003202024 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)