Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15B73C730BA324A32109F32DF9327135D62C3C7C6D79227F561F892289BB9D45BEA3594 |
|
CONTENT
ssdeep
|
1536:+MRYkw83RGOpw83bGu4w83mG2O4mBdQqTGFra4mBeQqTGf2G4mBFQqTGwGV4mB4r:LRMj7REWxZMfPsi5l+29m |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d676e0503ebd1872 |
|
VISUAL
aHash
|
e4e4a4800000ffff |
|
VISUAL
dHash
|
28e9692828382ac9 |
|
VISUAL
wHash
|
e4f4a4808088ffff |
|
VISUAL
colorHash
|
06c01000000 |
|
VISUAL
cropResistant
|
28e9692828382ac9,94949c949c6860b4,fcfcfcfcfcfcf4fc,48c848c969595970 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.