Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D473E9F3E2286876015682F1D2747EDEB2C246CADF270560A3F8835DDBD6C51BF12998 |
|
CONTENT
ssdeep
|
1536:p3R3KDskCea3VmwEmP/oUkVfnBcgc0ilKD:p3R3W+KD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee181367493d1c6b |
|
VISUAL
aHash
|
00fff9d1f1b1e1fb |
|
VISUAL
dHash
|
924533334727434b |
|
VISUAL
wHash
|
00fdd1d1f1a1e1f1 |
|
VISUAL
colorHash
|
07400000180 |
|
VISUAL
cropResistant
|
c13333236727434b,3032083082ca2300,060e129b36d6d791,454913daca537145 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)