Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T108A3C831D110BA3701E392E992715AAFB6C2A625C937430A7BF8D79C0FDAF60CD56346 |
|
CONTENT
ssdeep
|
768:cqj+baVj+bYY/j+bYY/j+bYY/j+bYY/j+bYYQ:Lj+baVj+bYqj+bYqj+bYqj+bYqj+bY/ |
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)