Web Application Security Score Calculator
Roll eight security pillars and your open finding counts into one application security score with a deduction for live risk.
Inputs
Application Security Score
34/ 100
Security Grade
F — Critical
Weighted Pillar Score
68.9/ 100
Deduction for Open Findings
35points
Weakest Pillar
Logging, monitoring and alerting
Highest-Value Fix
Close the 1 open critical finding(s) — each costs 8 points
Step by step
Values used
Input validation and encoding = 70 %; Authentication and session management = 80 %; Authorisation and access control = 65 %; Cryptography and transport security = 85 %; Security headers and browser policy = 60 %; Dependency and supply-chain hygiene = 55 %; Logging, monitoring and alerting = 50 %; Secure configuration and secrets management = 75 %; Open critical findings = 1 findings; Open high findings = 4 findings; Open medium findings = 15 findings
Web Application Security Score
pillar score = 0.18 input validation + 0.16 authentication + 0.16 access control + 0.14 transport + 0.12 headers + 0.10 dependencies + 0.08 logging + 0.06 configuration, each 0–100.
Live risk deduction
final score = pillar score − (8 × critical + 3 × high + 1 × medium open findings), floored at zero.
Application Security Score
= 34 / 100
Security Grade
= F — Critical
Weighted Pillar Score
= 68.9 / 100
Deduction for Open Findings
= 35 points
Weakest Pillar
= Logging, monitoring and alerting
Highest-Value Fix
= Close the 1 open critical finding(s) — each costs 8 points
How it works
The pillar weights are ordered by how often each one is the root cause of a real breach, which puts input validation, authentication and access control at the top and configuration at the bottom. The deduction exists because maturity and current exposure are different things: a mature programme with an open critical finding is still exposed today. Programme-level maturity and the open-findings queue are usually reported separately, which lets a good average hide a live critical — combining them stops that.
Formulas
Web Application Security Score
pillar score = 0.18 input validation + 0.16 authentication + 0.16 access control + 0.14 transport + 0.12 headers + 0.10 dependencies + 0.08 logging + 0.06 configuration, each 0–100.
- pillar score
- Weighted maturity across the eight pillars
- weights
- Sum to 1.00, ordered by exploitability
Live risk deduction
final score = pillar score − (8 × critical + 3 × high + 1 × medium open findings), floored at zero.
- deduction
- Points removed for findings that are open right now
- critical
- A finding an attacker could use today
Frequently Asked Questions
How is Web Application Security Score calculated?
pillar score = 0.18 input validation + 0.16 authentication + 0.16 access control + 0.14 transport + 0.12 headers + 0.10 dependencies + 0.08 logging + 0.06 configuration, each 0–100. The pillar weights are ordered by how often each one is the root cause of a real breach, which puts input validation, authentication and access control at the top and configuration at the bottom. The deduction exists because maturity and current exposure are different things: a mature programme with an open critical finding is still exposed today.
Why does Web Application Security Score matter?
Programme-level maturity and the open-findings queue are usually reported separately, which lets a good average hide a live critical — combining them stops that.
What values do I need to enter?
This calculator takes 11 inputs: Input validation and encoding, Authentication and session management, Authorisation and access control, Cryptography and transport security, Security headers and browser policy, Dependency and supply-chain hygiene, Logging, monitoring and alerting, Secure configuration and secrets management, Open critical findings, Open high findings, Open medium findings. The pre-filled defaults are a realistic starting point — replace them with figures from your own environment for a result you can act on.
Why does one critical finding cost eight points?
To keep the score honest. Eight points is roughly the difference between two grade bands, so a single exploitable finding visibly moves the number and cannot be averaged away by a strong pillar elsewhere. Adjust the weight if your severity definitions are stricter or looser than the usual ones.
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