Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16182CA32D100BA3701E392E996B15BAFB6C3E626C937030677F8979C0FDAD60DE56205 |
|
CONTENT
ssdeep
|
384:oxfELg/YJj+bC/tiGPxPyZ8rUmh40Ao6xA6PnizsW8u2V:cqj+bqy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c64938bf6430b2e7 |
|
VISUAL
aHash
|
00187c38787ebd76 |
|
VISUAL
dHash
|
23e0c0e0e0cc71e4 |
|
VISUAL
wHash
|
00387c3878ff81fe |
|
VISUAL
colorHash
|
30003010040 |
|
VISUAL
cropResistant
|
23e0c0e0e0cc71e4 |
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)