Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13DA37933411835274437C6D530A55B3BE2E6995FFAE70A010EECDBEA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:lAiOLz4NP/y9svbliCdDFNIFtiuCa28y2O9:uiAmAM3b |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2469432bd39966d |
|
VISUAL
aHash
|
00302000000400ff |
|
VISUAL
dHash
|
dcc0c0c8cccc839c |
|
VISUAL
wHash
|
067c7060440ef7ff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
000080015c5880a0,dcc0c4c0c8ccccc3 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)