Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1498385347901682630EF46CFE263794E2284EBCAD95719D9C6F1472869F6CA1FDD02E8 |
|
CONTENT
ssdeep
|
384:CWak2Bl/EJF0fbb86sjR/gTuYZ1RRM/QdCeAVa4XQCnBEi4f4KvxwP74a5vKIMAr:B6sSnMmCewC2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6cbd9ccc4c26076 |
|
VISUAL
aHash
|
3f0f070707070707 |
|
VISUAL
dHash
|
777f8fedacaeae9e |
|
VISUAL
wHash
|
ff0f070707070f0f |
|
VISUAL
colorHash
|
02200000007 |
|
VISUAL
cropResistant
|
777f8fedacaeae9e,00004040d0404040,3e0fc1d999939b83 |
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 805 techniques to evade detection by security scanners and make reverse engineering more difficult.