Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14C924352210C4695C2F38DE894106A44B182E74FC87187B0C6FC4E7B5BD2AA577ADF7E |
|
CONTENT
ssdeep
|
384:2TOD0gGyP9baZEis9iVUjRYDHSprt14ynW:mExHRSHSpPnW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2ad5a52a5528dad |
|
VISUAL
aHash
|
ffffffe7e7fcfcfc |
|
VISUAL
dHash
|
0e08140c0e000808 |
|
VISUAL
wHash
|
00e7c0c0c2e4f0f0 |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
0e08140c0e000808,c89992aaa8929888 |
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)