Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F5225333A600DD2E4D9B5688F6C09588521ED395FB3148CBB26091FF7BC4DF0A9A939D |
|
CONTENT
ssdeep
|
192:Qw21dYYc/cCma2rLMxkXCxGMcnthWeNWbrfMmUU8VCow+l:n2bc/cCma2r1GfMmUFCowK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a92656d69679217 |
|
VISUAL
aHash
|
001e1e1e1e5e0000 |
|
VISUAL
dHash
|
cbb8783c30384a4b |
|
VISUAL
wHash
|
00bf3f3f3f1f0000 |
|
VISUAL
colorHash
|
031c0000000 |
|
VISUAL
cropResistant
|
c338783c30383838,010101018020c8c8,944b4b5a6a0a0b25 |
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.