Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T135B132E1C408ED37431286D4A7FA6B0B76D2C349CB05194497F883BB5BCAC60D625999 |
|
CONTENT
ssdeep
|
96:Tkf8PfzeNNeSTgG8fmIwvFWehXIHFBehXeX/JPbz2yJ:Qf+fzeTkG8fw+KYXJd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d6a578aba5ac29a8 |
|
VISUAL
aHash
|
fefcfcfefcbcbc80 |
|
VISUAL
dHash
|
3878786878786818 |
|
VISUAL
wHash
|
bcbcbcbc3c3c3c00 |
|
VISUAL
colorHash
|
06440018001 |
|
VISUAL
cropResistant
|
3878786878786818,0308003019090304,8e4d4c4c54a4444c |
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 64 techniques to evade detection by security scanners and make reverse engineering more difficult.