Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14B02A66201285C3B521383D8F392B7BEA1C78241CE452A01C6FA47EA4FF7DD4EE6705A |
|
CONTENT
ssdeep
|
96:Tk1Ts9k0lU3lwhYW+BJ6m/o1kIdfbECxBE+1EnuN7CrTm+HCHlgR61rBxJ5ehIMj:QOVovE1LJFBEwEuNZHvFehIk1Tt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92966d69c36992c7 |
|
VISUAL
aHash
|
00043e2e3e0e0000 |
|
VISUAL
dHash
|
d5acececccdcb3b8 |
|
VISUAL
wHash
|
645e7e7f7e1e0800 |
|
VISUAL
colorHash
|
31400007000 |
|
VISUAL
cropResistant
|
23239c3335710dcc,d5acececccdcb3b8 |
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 41 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)