Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AE83F7F6E3886A65F113A3D4F1A16215122B257EDF0B8EC8DB7C51B4A7C1DC84C77A81 |
|
CONTENT
ssdeep
|
768:xH9ZttV9NCiW2p6ku7S5WcP/J0Ffj5H9ZttV9NobeZtHe/fQAeJeSeInmgDgFe3v:DkweHeQAeJeSeInmgDgFeQk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ad056d963a127ad6 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
97c7c7d93323373b |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
03400030000 |
|
VISUAL
cropResistant
|
57c7c7993223363b,ee6131969496a629,52d28eeacacc6973,dcdeaed8d8a6d0c4,dc5716c7c7e7d9cf,7fffffffffffffff |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)