Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B53301709046AB3B41D3A2E2A279AB6B73D1D25ACB2B570623FC938E1FC7D50ED13154 |
|
CONTENT
ssdeep
|
768:UihWu3VoT8/ItRZSVmSSSSSSSSsDVPFittF:UiStRZSUSSSSSSSSsDVPFittF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dcb3b40e73384743 |
|
VISUAL
aHash
|
ffff000000100000 |
|
VISUAL
dHash
|
3c3240146020b44a |
|
VISUAL
wHash
|
dffff0f03c3c1000 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
3a10001462a0b44a,0004020c0d020004 |
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 48 techniques to evade detection by security scanners and make reverse engineering more difficult.