Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13D222F33B600CD2A4A9F65CCF2C09A88455EC346F73148CAB1A491BF7BC4DF1699679E |
|
CONTENT
ssdeep
|
192:9YkIwoYcNcwchmoW1rgaaxeKXyMcnthWeNWbnfMmUU8VCo0iz:rcNcwchXW1Em4FfMmUFCo0iz |
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.