Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T191535DF4B441F52356B380A360BF2906B37D541F680D0960E25CEECBB5F486A716BBDA |
|
CONTENT
ssdeep
|
1536:yPGOUDL77bQVhQU1hL1tjTBW8bzQ2N0msQw:yOW/nj8wVw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
963c69c93996cc47 |
|
VISUAL
aHash
|
000034043c7e7e7e |
|
VISUAL
dHash
|
8c6d6c2cdcf4cccc |
|
VISUAL
wHash
|
020434063e7e7eff |
|
VISUAL
colorHash
|
38000038001 |
|
VISUAL
cropResistant
|
7071f0e0cc682c25,a8b048484c0c0080,9292926996969696,8c6d6c2cdcf4cccc |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)