Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17333D8503201B69F69330F34B34A709AC1EED345EAE6A92DF6985351B4E2036C747DBE |
|
CONTENT
ssdeep
|
1536:gm20wA35nM+35df3E4tFxntSXzZ8Z7U1c/d/Zs:vI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e1719e9625999965 |
|
VISUAL
aHash
|
ffc3c3c3c3ffffff |
|
VISUAL
dHash
|
7196969696000660 |
|
VISUAL
wHash
|
00030303003cf090 |
|
VISUAL
colorHash
|
06080003200 |
|
VISUAL
cropResistant
|
7196969696000660,ccf09a82deb29696,ccb02b2bd00d8fb1,8cb89e3adce8aa8e,0dd5d555f5f57161 |
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 355 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)