Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B1127A713A49266B0537C2F4BD632E1F96B0F31E8224086A62B881752FD7D71F83ADD5 |
|
CONTENT
ssdeep
|
192:uICb9gSCVSZjiwqpc8WzL1V4bbYPxXEeOnpa1r30p7PTFgU9UN0sEQZjRK1svEr:HYMWupGZjPBpAqxEsdK1F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b30c1919b3b3a3b3 |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
d3f00c0c0808180c |
|
VISUAL
wHash
|
0000040427272727 |
|
VISUAL
colorHash
|
06007000000 |
|
VISUAL
cropResistant
|
00185858181800ef,4d0c0c0808081c0c,fff7f6f2b0f0f0f0 |
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 62 techniques to evade detection by security scanners and make reverse engineering more difficult.