Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EE225233B200CD2A4A9B55CCF2C09689465EC345FB3148CAB1A090FF7BC5DF0699679E |
|
CONTENT
ssdeep
|
192:rxkWogYcNcwchmoW1rgaaxeKXyMcnthWeNWbhfMmUU8VCos:QcNcwchXW1Em4vfMmUFCos |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1318ecece991999 |
|
VISUAL
aHash
|
ffc3c3c3ffffffff |
|
VISUAL
dHash
|
240e961628040001 |
|
VISUAL
wHash
|
340000000f0f0f0f |
|
VISUAL
colorHash
|
07001040043 |
|
VISUAL
cropResistant
|
240e961628040001,8200828282828282,8200828282820080,9091a0ea726cb3b2 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)