Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FFE14E316898EA370197C6D9A3B5AB6FB2D5C209CB175641A6FC83DC0FE7C81DE26204 |
|
CONTENT
ssdeep
|
96:gBIr3BqpTCVX7jU8ZoKkPfmhD3WRtky5Jojqnunawn82l3fg2opelsOpNX:rr3ByqX7ju+dmvkgvpXOX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93fc4c3d71462cd2 |
|
VISUAL
aHash
|
00fe76666e003c3c |
|
VISUAL
dHash
|
07e8ccccdcd4ccc8 |
|
VISUAL
wHash
|
00ff7f666e003c3c |
|
VISUAL
colorHash
|
020020001c0 |
|
VISUAL
cropResistant
|
13ccc4cccc5cdcd4,848e8c8c8a8e8ef0,0004c4c4c4040000,0101013131312101,95aaabaad64ad6d6,743c5e370bc360f4,c68903071e78f1e3,dcdce0d4c8ccccf0,fffffde9f9fbffff |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.