Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E1412DB0A025AEF7E082D6D4B299EB1B36D28255CFA7160057E897DD06CBC40CA20481 |
|
CONTENT
ssdeep
|
24:hrcCKADPcuDfQ2cv1rJgQ3ptn0E3cGANdFZjkjHlEskWarDNnBuG0/ppwUj2lYRC:teIPcCw1HtTeNjkkbrDOppiOs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
98cc3266895f9d9c |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
ecb232b2b232329f |
|
VISUAL
wHash
|
00139b7f5f9b8307 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
aa8e86baba803396,ecb232b2b232329f |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.