Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B792B63261852D3E65038BF1F655B734B1BE9389CE1B4519F2BC43752386DA1EE23368 |
|
CONTENT
ssdeep
|
384:hqLvj+XXl1LseBXkzyYGTd56ElbjRX0YyKU289EoEr7/:hqLvj+XXl1LseBXkzyYG76E1RX0Y0qoC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93d26c2c4db9d929 |
|
VISUAL
aHash
|
c0f4ee6c00030319 |
|
VISUAL
dHash
|
13ccd8d8a667eff2 |
|
VISUAL
wHash
|
e1fceeee0007031f |
|
VISUAL
colorHash
|
38000600018 |
|
VISUAL
cropResistant
|
79e8c9c960f8785e,6366242b1adbf3e5,13ccd8d8a667eff2 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.