Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F331127050885B3B138393E07BE5672F26D2C791D9034A0986F4879F0FEBF85CE00694 |
|
CONTENT
ssdeep
|
24:hnCpDfQEkljNeL1rEFipOkQxX3BNENjHnLLvOpC1xpHbIULDRAFm:qFp1rjpQJxa1rTOsKWDmm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc9ccc31d9333366 |
|
VISUAL
aHash
|
1818101818000000 |
|
VISUAL
dHash
|
30b2e4b030004060 |
|
VISUAL
wHash
|
ff7e7e3c3800203c |
|
VISUAL
colorHash
|
38000030002 |
|
VISUAL
cropResistant
|
18a4e55064aaa211,30b2e4b030004060 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.