Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T107C429F093919ABB40878BE0B460B35AE25B557AEB67E98CF7CC87557BDBC1E8D00050 |
|
CONTENT
ssdeep
|
3072:nHn5TMQ2x76aZtOZeiHPCuuUZs5RwL4ZujVgub5tIZ/rvLfqLSzZtfZeiHPCuu1Q:nHn5TM9lce |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d8cab70bd82a65aa |
|
VISUAL
aHash
|
ffff00000000ffff |
|
VISUAL
dHash
|
2bcc86b071724d36 |
|
VISUAL
wHash
|
ffff00000000ffff |
|
VISUAL
colorHash
|
1b001000180 |
|
VISUAL
cropResistant
|
2b2b2b4c0c008080,6426715929d99a1a,4c4d0c0c51363226,838eb0f171306060 |
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 68 techniques to evade detection by security scanners and make reverse engineering more difficult.