Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FBC31F308069A97751A791D4A7B00F3FB7D08646DA130F4682FDCBEA9FBEC44ED2A541 |
|
CONTENT
ssdeep
|
3072:sTelxJ4ezJTU4+e/GTyevGPeOeIOhDhid5R1Zr9EzR2qojzNsuwzGE9qlQmxOpbb:9rOhDhid5R1Zr9EzR2qojzNsuwzGE9q4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
91368e69699b96e4 |
|
VISUAL
aHash
|
00067e4c60387c7e |
|
VISUAL
dHash
|
c4c4ccd9c3d8d8e4 |
|
VISUAL
wHash
|
20067e5c707c7c7e |
|
VISUAL
colorHash
|
30200010000 |
|
VISUAL
cropResistant
|
40482cb630626608,9e92888c48cac2c4,f16dedec6cededed,8a80af0f8f87b2cc,eca811313159e8c8,c4c4ccd9c3d8d8e4 |
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 57 techniques to evade detection by security scanners and make reverse engineering more difficult.