Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C9B33C603A64FA6725B353F760DF6602B279862BD40F4C307360ECAA739DC9A5163F85 |
|
CONTENT
ssdeep
|
1536:bHDTpOH1J3fldLb0h3lDpDG9F7STVq53QSoHxh8N6FmbXhjaPnQsR+Fuopc:DDTpOVJexc9STjzmN6UbtZ9S |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a303fc6c3cf3504d |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
decfcdddff4f0c32 |
|
VISUAL
wHash
|
0000050707ffffff |
|
VISUAL
colorHash
|
02000000180 |
|
VISUAL
cropResistant
|
59a6543452c28442,edddffff0f0c2227,bebebcbefeb6beff,d4ffcfcdddddf7ff |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.