tinja
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TInjA is a CLI tool that tests web pages for template injection vulnerabilities, supporting 44 template engines across eight programming languages.
tinja --testheaders Host,Origin,X-Forwarded-For http://target.com/page tinja raw -R "/path/to/request.txt"
Summary
tinja is an open-source command-line tool that tests web pages for template injection vulnerabilities, released under the Apache 2.0 licence at no cost. It automatically detects whether template injection is possible and identifies the specific template engine in use, covering 44 engines across eight languages, and distinguishes server-side (SSTISSTIServer-Side Template Injection, a vulnerability class where attacker-controlled input is evaluated by a server-side template engine, enabling remote code execution or data exfiltration.) from client-side (CSTI) issues while using polyglot payloads to keep requests low. It takes crawled URLs in JSONLJSONLA text format where each line is a self-contained, valid JSON object, making it easy to stream, append, and process large datasets line by line without parsing a full JSON array into memory. format or a raw HTTP request, supports custom headers, cookies, and query parameters, and can route traffic through a proxy such as Burp Suite, which suits penetration testers and application security engineers doing manual or semi-automated web assessments. First committed in 2023 and built by Hackmanit, it has had 5 contributors and 6 releases in the tracked window, though the most recent release was 470 days ago and only 4 commits have landed in the past year.
TInjA is a CLI tool that tests web pages for template injection vulnerabilities, supporting 44 template engines across eight programming languages.
How tinja helps
Which template engine is rendering this page, and could that shape my exploit?
matches the response behaviour against its library of 44 engines across eight languages and names the specific engine and language in use
Is this injection happening in the browser or on the server?
classifies each finding as server-side or client-side based on where the payload is evaluated, so the two are never conflated
Can I sweep every URL my crawler found without hammering the target?
accepts a JSONL list of crawled URLs and tests each one, using polyglot payloads that average five requests per page before a verdict is reached
Can I test a request that needs a session cookie or a custom header to even reach the vulnerable code?
takes a raw HTTP request or lets you set custom headers, cookies, and query or POST parameters so the scan reaches the same code path a browser would
Can I watch these requests happen in Burp instead of trusting the tool's own output?
routes all traffic through a configured proxy such as Burp Suite so every payload and response can be inspected as it happens
Languages
Command line
No command matches.
| option | found in | since | description |
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Values are placeholders taken from each option’s declared default. Nothing is executed here — the output shown is a recording of a run that already happened.
Score card
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Shipping velocity releases a month, last 12 months
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Documentation quality release-notes rubric, 0–100
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Breaking-change discipline how rarely a release breaks users, and notice given
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Maintenance risk quiet time against its own cadence, maintainers
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Innovation & surface new capabilities, API and MCP surface
- Community health
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Contributor trend distinct committers, this year against last
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Maintainer concentration bus factor now against a year ago
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Issue backlog trend issues closed per issue opened, 12 months
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Responsiveness median time to a maintainer’s first reply
Nine scores for tinja, each built from the releases, notes and API history this site tracks — and, on Researcher and Business, where it stands among every measured tool in its category and how that has moved.
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Blank means never measured; nothing here is a filled-in zero.
Peer standings are included with Researcher and Business. See how this tool ranks against its competitors, using data we don't publish anywhere else.
See plans →Each score is 0–100 on a published rubric, derived from data this site already shows. A dimension we cannot measure says so — it is never scored 0 and never enters a rank.
How this is scored
- Shipping velocity — releases a month over the last 12 months, on a log scale where 16 a month scores 100. Needs 3 releases in the window.
- Documentation quality — the release-notes rubric published on the analytics page, unchanged.
- Breaking-change discipline — the share of releases carrying a breaking change (none scores 100, half or more scores 0). Only projects that label breaking changes are measured: a clean record cannot be told from an unlabelled one.
- Maintenance risk — quiet time measured against the tool's own release cadence (quiet longer than 90 days and three typical gaps scores 0), plus the number of active maintainers and whether contributors are growing, where known. Higher is lower risk.
- Innovation & surface — new capabilities in the feature ledger this year, API and MCP operations added, and the share of commits that are features: the mean of whichever we hold.
- Community health (open-source tools only) — each is a direction, not a size: contributors this year against last, the bus factor now against a year ago, and issues closed per issue opened, where steady scores 50, doubled 100 and halved 0; plus the median time to a maintainer's first reply (an hour scores about 100, a month or more 0). A commercial card has no repository and carries none of the four.
- Documented delivery (commercial tools) — when a vendor's documented new capabilities have slowed against its own baseline, that counts against the overall standing as heavily as two low dimensions. Steady delivery, or too little history to judge, leaves the standing alone; it is never a sixth score.
- Open-source tools are scored on repository signals; commercial tools on their published changelog. Ranks compare tools within one category and one profile and need at least five measured peers; the overall standing needs three ranked dimensions. Best-in-breed or consolidator is a shape, not a quality, and is never scored.
Release-note detail over time
See how much detail tinja puts in its release notes, quarter by quarter, and compare it with tracked tools in the same category. This history uses up to ten retained, reviewed notes per tool; sparse or blank older quarters may reflect that limit.
Checking release-note history…
Releases
3 entries
No entries match these filters.
- May 20251
- March 20241
- January 20241
Project health
Issue, contributor and maintainer activity in Hackmanit/TInjA, 2023-10 – 2026-09, as of 2026-09-25. Twelve-month figures first; the trend lines run the whole window.
- Contributors 1 ±0 vs prior 12 months
- Maintainers 1 +0 joined · −0 left, last 12 months
- Bus factor 1 committers behind half the commits
- Community-filed not measured of issues opened, last 12 months
- Median time to close not measured issues closed, last 12 months
- Open backlog 2 of 8 issues ever filed
- Issues opened / month 0 · 0 communitymaintainers
- Open backlog 2
- Contributors / month 0
- Commits / month 0
- Stars 426
Counts from the project's public repository and git history; no individuals are identified. Maintainers are the committers covering 80% of the last year's commits. how we measure this
Libraries its release ships
What its latest release locks, checked against known advisories.None of its release's images build from a lockfile we can read.
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