Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1388262B2A1197A3B4A1308EAB467AB29B196810CD1462414F2FC46FD0BF9D50D93FDE7 |
|
CONTENT
ssdeep
|
384:gRIIEGrH3ruqrSUZa3w/2We2WC2Wd2WyolKVxWb/fAV1WWz7fuX1P8fCdzngoNmn:qIInW3wOWDWXWQWllKVxWbgVbfuXx8fV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ff7f80925aad8181 |
|
VISUAL
aHash
|
fe808180c0ffffff |
|
VISUAL
dHash
|
300f0b032140644c |
|
VISUAL
wHash
|
f080808080ffffff |
|
VISUAL
colorHash
|
0f002000180 |
|
VISUAL
cropResistant
|
300f0b032140644c,9a19b05dceb225a2,0e9c968686868080 |
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 26 techniques to evade detection by security scanners and make reverse engineering more difficult.