Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A6A37B33415835274437C6D530A55B3BE2E68A5FFAE70A010EECD7EA2BFAC60745B11A |
|
CONTENT
ssdeep
|
1536:S01Lz4NP/y9svbliCdcGKnFtiuCa28y2O9:TmALs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d372d53a9929e149 |
|
VISUAL
aHash
|
00006000000000ff |
|
VISUAL
dHash
|
1cecc049cdcf69f8 |
|
VISUAL
wHash
|
00fcf0201701ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
6914a081303080a0,9c2cc448e9cdcf69 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.