Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T156E185F15004580B1217C1CE6AD37B4E2493E3468F6118619ADA836BAADFAF0DCF6393 |
|
CONTENT
ssdeep
|
96:TJvGmBB5BeIR1J4EDsJsZdSda7FDgtr5Lz6b7C22QM9QsN:gCBXoiwQ7FDgtr5Lz6b+blN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e56d67129a464d1e |
|
VISUAL
aHash
|
00c3c3e3ffffe7ff |
|
VISUAL
dHash
|
16169696200e4d00 |
|
VISUAL
wHash
|
00c3c3c3c8c0e4e4 |
|
VISUAL
colorHash
|
06000000180 |
|
VISUAL
cropResistant
|
9696961e300d4d00,948c8c8c88e8cecc,daca3a6ab6ba3a9a,0000804040408000,4923909890d8d800 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)