Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A7E2B732D01AB83F06AB73D1A7B4A35A63D54389DA43072642FD874D5FFBC90DE524A8 |
|
CONTENT
ssdeep
|
384:mcSII0PIIIII9blB967YbWFAjddDvWng7/vN1gwHlpW:9SIIQIIIII+oEqTDz9qYy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e3791c1c3963c6 |
|
VISUAL
aHash
|
00e7e7ff3f181810 |
|
VISUAL
dHash
|
97cdcbd3e5e0f0e0 |
|
VISUAL
wHash
|
00e7ebdf7f181818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ce9d888c0c,0000606868400000,97cdcbd3e5e0f0e0 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)