Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T130532F71C051593F02AB87C1A2B9772B73D2828ECE430B5567F883A99FDBD40ED27664 |
|
CONTENT
ssdeep
|
1536:1uSSFehUy97mZENVEmFDF1FUBSSSSSK05V479F:1cm9Zhv005V47T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
af6af09c2fc31d80 |
|
VISUAL
aHash
|
9d818101111fffff |
|
VISUAL
dHash
|
312743436370002a |
|
VISUAL
wHash
|
9d818101111fffdf |
|
VISUAL
colorHash
|
0e202000080 |
|
VISUAL
cropResistant
|
312743436370002a,73cec2f5e7c7c5a5,3834274161617174,000000000020c8c8,0000000000004040 |
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 71 techniques to evade detection by security scanners and make reverse engineering more difficult.