Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AA231031A089AE2B41CB55D69177172663F5834AC7271688BAFDC7EA0FDFC28DA33144 |
|
CONTENT
ssdeep
|
384:QQxaVsJO5xVZjqTSOXkWnwjYQeWPwNi3NMHl3MQI+4sPNMHl3MQT+4sPCCCCCW1U:QiaVsIx/jeGYQdw6Rl93nSKUf7sTM+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
db43b4b42c38bcac |
|
VISUAL
aHash
|
ff00000038ffffff |
|
VISUAL
dHash
|
f8c85850e010393a |
|
VISUAL
wHash
|
ff00000000ffffff |
|
VISUAL
colorHash
|
17006000040 |
|
VISUAL
cropResistant
|
3626d8d85860e8d8,c3a1a932b1b0b0d3,7020181838193a1a,d858e8d850d050f0 |
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 90 techniques to evade detection by security scanners and make reverse engineering more difficult.