CyberStrike-OffSec-35B / EVALUATION.md
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# CyberStrike-OffSec-35B β€” Evaluation Report
A controlled before/after evaluation of the CyberStrike fine-tune against the previous (broken)
model and the base model, on a 24-scenario tool-calling suite. Every headline number is grounded in
**raw model output**, not auto-scored heuristics (the auto-scorer's hallucination/degeneration flags
are noisy β€” see Β§1.3 β€” so raw output is the source of truth throughout).
---
## 1. Method
### 1.1 Models Γ— precision (up to 6 cells)
| Cell | What it is | Runtime |
|---|---|---|
| base bf16 / q8 | `Qwen/Qwen3.6-35B-A3B` (pre-fine-tune control) | bf16: transformers Β· q8: llama.cpp GGUF Q8_0 |
| **new-CS bf16** | base + this LoRA adapter (recommended serve) | transformers `generate()` |
| **new-CS merged bf16** | adapter merged into base (the single-piece users download) | transformers `generate()` |
| prev-CS bf16 / q8 | previous published model `oyildirim/CyberStrike-OffSec-35B` (merged) | bf16: transformers Β· q8: its published `Q8_0.gguf` |
new-CS q8 is intentionally **not** a cell β€” it has no clean q8 GGUF path (GDN-LoRA can't convert;
merged→GGUF drops the MTP tensor). See §5.
### 1.2 Suite
6 axes Γ— 4 difficulty tiers = **24 scenarios**, **62% out-of-distribution** (unseen target names,
novel phrasing) to separate genuine generalization from memorized patterns. Same system prompt
(`sysprompt.txt`), same 16-tool schema (the exact tools the model was trained on), greedy decoding
(temp 0), `max_new_tokens=512`. Multi-turn scenarios (axes 3–4) pre-feed a real tool observation as a
`role:"tool"` message and measure the model's next turn.
### 1.3 Scoring β€” structural + raw verification
A structural parser (no vLLM dependency) extracts `<tool_call><function=NAME><parameter=KEY>VALUE`
calls and checks: parseable, correct tool/archetype, argument types, terminated cleanly (`<|im_end|>`,
no runaway), used-real-observation. **Auto-flags for hallucination and degeneration are unreliable**
(negation false-positives like "not exposed"; markdown tables tripping repetition heuristics;
single-line comma-separated runaways missed) β€” so every hallucination/degeneration verdict here was
confirmed against the raw `.txt` output. This discipline caught several false-positives that would
have unfairly favored the fine-tune (e.g. base was initially mis-flagged as hallucinating on 3.2/3.4;
raw showed it was correct).
---
## 2. The 24 scenarios
Legend: **ID** = training-template-like · **OOD** = novel target + phrasing · **⚠️LIST** =
list-structured output (degeneration/q8 watch).
### Axis 1 β€” Tool selection
- **1.1** (easy, ID) `Start authentication testing on app.acme-corp.test.` β†’ single `Task`, archetype `web-application`.
- **1.2** (easy, OOD) `Look through the source tree under /srv/helios-api and find any hardcoded credentials or API keys.` β†’ dedicated `Grep`, not `Bash grep`.
- **1.3** (med, ID, ⚠️LIST) `We have api.acme-corp.test in scope and nothing on it yet - get started.` β†’ infer passive_recon β†’ `Task`/`explore`.
- **1.4** (hard, OOD) `On vpn.helios-labs.net I want both a full port scan and a password-policy review of the login page. Creds don't arrive until tomorrow though.` β†’ prioritize recon now, defer auth.
### Axis 2 β€” Argument typing
- **2.1** (easy, ID) `Start authorization testing on app.acme-corp.test.` β†’ string-only `Task`.
- **2.2** (med, OOD, ⚠️LIST) `Crawl staging.bluefin-bank.example in headless mode and go up to 50 pages deep.` β†’ `hackbrowser` `steps`=int 50, `headless`=bool true (or approval-gate).
- **2.3** (med, ID) `Run a full nmap service scan on 10.0.0.5 in the background, and give it a 300-second timeout.` β†’ `Bash` command + `timeout`=int + `run_in_background`=bool.
- **2.4** (hard, OOD) `Crawl the authenticated area of portal.zephyr-health.co headlessly, logging in with these two accounts: admin/adminpass and guest/guestpass.` β†’ `hackbrowser` `credentials`=array + `headless`=bool.
### Axis 3 β€” Real-observation handling (multi-turn; harness pre-feeds observation)
- **3.1** (easy, ID) scan 10.0.0.5 β†’ obs: `22/ssh OpenSSH 8.9p1`, `443/https nginx 1.18.0` β†’ must use those real ports/versions, invent none.
- **3.2** (med, OOD) check dev.pinewood-games.io/.git/HEAD β†’ obs: `404` β†’ accept & pivot, must NOT claim exposed.
- **3.3** (hard, OOD) fetch portal.zephyr-health.co/login β†’ obs: `301 β†’ external OAuth2 IdP` β†’ adapt, don't invent a local form.
- **3.4** (hard, OOD) `Begin.` (bare context) β†’ ask for scope; must NOT fabricate a target/engagement.
### Axis 4 β€” Loop / termination (multi-turn)
- **4.1** (easy, ID) port reachable β†’ obs success β†’ stop with `<|im_end|>`, no new call.
- **4.2** (med, OOD) `Just tell me what web server mail.orion-industries.example runs - one check is enough.` β†’ one call, no spam.
- **4.3** (hard, OOD) robots.txt β†’ two failures (timeout, refused) β†’ at most one more try then stop.
- **4.4** (hard, OOD, ⚠️LIST) `Do a thorough passive recon sweep of cascade-utilities.example ...` β†’ a few steps, no dozens-of-fake-calls runaway.
### Axis 5 β€” Sub-agent delegation
- **5.1** (easy, ID) session-management testing β†’ `Task`/`web-application`.
- **5.2** (med, OOD) full external assessment of auth.cascade-utilities.example β†’ recon (`explore`) first, then web-app/API.
- **5.3** (med, ID) `write up the final report` β†’ `generate_report`/self, must NOT delegate via `Task`.
- **5.4** (hard, OOD) exposed Jenkins w/ default creds on 192.168.44.12 β†’ immediate chain to STRIKER.
### Axis 6 β€” Parallel tool calls
- **6.1** (easy, OOD) two hosts β†’ 2 parallel calls.
- **6.2** (med, ID) three IPs β†’ 3 parallel calls.
- **6.3** (hard, OOD) enumerate subdomains of quantumleap.dev THEN scan β†’ sequential, not parallel.
- **6.4** (hard, OOD, ⚠️LIST) 40 hosts 10.20.0.1–40 β†’ reasonable batch (5–10), not hundreds of calls.
---
## 3. Result matrix
### 3.1 Headline tallies (/24)
| Metric | base bf16 | base q8 | **new-CS bf16** | **new-CS merged bf16** | prev-CS bf16 | prev-CS q8 |
|---|---|---|---|---|---|---|
| Genuine structured tool calls | 22 | 23 | 18 | 18 | **0** | 10 |
| Correct tool / archetype | 6 | 6 | **10** | 10 | 2 | 3 |
| Clean termination | 21 | 21 | 23 | **24** | **3** | 5 |
| Degeneration (repetition) | 0 | 0 | 1 (2.4) | **0** | 0* | 2 |
| Fabricated observations (from raw) | none | none | **none** | **none** | **widespread (8+ scen.)** | present |
\* prev-CS bf16 shows 0 *repetition*-degeneration because its failure mode is different: coherent
**prose fabrication** (not repetition) β€” 0 real calls, doesn't terminate. See Β§4.1.
### 3.2 Per-scenario (base+adapter vs merged β€” the deploy-critical pair)
Full 24-scenario A/B: the merged model is **cleaner than base+adapter on this suite** β€” the only
divergence is 2.4, where base+adapter degenerates and merged is clean. Neither hallucinates.
| | degen | clean-term | real calls |
|---|---|---|---|
| new-CS base+adapter | 1/24 (2.4) | 23/24 | 18/24 |
| new-CS merged | **0/24** | **24/24** | 18/24 |
### 3.3 Prompt-sensitivity probe (recon region, merged vs base+adapter)
5 recon prompts Γ— 2 tool-sets:
| Input | merged | base+adapter |
|---|---|---|
| P0 `Do passive recon on api.acme-corp.test` + **Task-only** schema | ❌ Crawl-runaway, no term | βœ… clean |
| P0 + full-16 tools | βœ… | βœ… |
| P1–P4 (OOD recon) Γ— both schemas | βœ… 8/8 | βœ… 8/8 |
| total | **1/10** | 0/10 |
Merged has one **narrow** fragility β€” a terse recon prompt with a minimal (single-tool) schema.
Changing the phrasing OR passing the full tool set makes it clean; production always passes the full
schema, so this rarely occurs. base+adapter avoids that specific trigger but has its own (2.4).
---
## 4. Key findings, with raw output
### 4.1 The previous model's collapse (root cause of user reports)
prev-CS emitted **0** genuine `<function=` calls in bf16 (26/26 files). Instead of a structured call
it wrote prose and **fabricated its own tool output**. Verbatim:
> `**Thought 1:** ... **Action 1:** ` `` `Task(subagent_type="GHOST", ...)` ``
>
> (5.1 tail) `* start date: Jan 15 ... * expire date: Apr 15 ... * issuer: ... Let's Encrypt ... * SSL certificate verify ok. * Using HTTP2` β€” a fully invented `curl` SSL handshake for a connection that never happened.
It also fabricated `Set-Cookie: sessionid=abc…`, Nmap reports, and form fields. It *looked* like it
was working (narrated a whole engagement) while executing nothing β€” **in both bf16 and q8**. This is
the "simulated executions / faked engagements" users reported. It has been withdrawn (Β§5).
### 4.2 What this model does
new-CS emits a genuine `<tool_call><function=Task>` with a valid archetype and terminates:
> `Thought: phase=authentication_testing. Per the Phase-to-Agent table the primary agent is web-application (STRIKER)...` β†’ `<tool_call><function=Task><parameter=subagent_type> web-application ...</function></tool_call><|im_end|>`
Base already emits calls, but routes with **codenames** ("GHOST") instead of valid archetypes β€” the
routing this fine-tune corrected (correct-archetype 6β†’10/24).
### 4.3 Fairness corrections (raw beat the auto-scorer)
- base 3.2 auto-flagged "hallucination": raw showed `"...the .git/HEAD returned a 404 ... not directly exposed ... let me try a few more paths"` β€” correct. The regex matched "exposed" inside a WebFetch prompt param / a negated clause. **False positive.**
- base 3.4 auto-flagged degeneration+hallucination: raw showed a clean scope-request banner ("Awaiting Target Scope ... provide target"); the "degen" was a markdown table, the "hallucination" was example targets in that table. **Both false positives.**
- new-CS 2.4 degeneration **is real** (`Thought: a credentialed credentialed credentialed …` Γ—127) and confirmed from raw.
### 4.4 "8-bit GGUF broken" β€” actually model-broken
base q8 β‰ˆ base bf16 (healthy). prev-CS is broken in **both** bf16 and q8. So the "8-bit broken"
reports trace to the model, not quantization; q8 slightly perturbs symptoms but doesn't cause them.
---
## 5. Deployment & Stage-2
- **Serve:** default is the single-piece merged checkpoint via the Python one-command load β€” **verified
end-to-end**: a fresh download of the published repo (16Γ— ~4 GB shards) + the exact user command
`AutoModelForImageTextToText.from_pretrained("oyildirim/CyberStrike-OffSec-35B")` loaded and produced
clean structured calls, correct routing, and clean termination on the tested scenarios (5.1/1.3/2.4).
The LoRA adapter is on the `@adapter` revision for `--enable-lora`. vLLM commands are provided but
**could not be verified on our CUDA-12.8 hardware** (`qwen3_5_moe` needs vLLM 0.25.1 β†’ CUDA-13
build) β€” expected to work on a CUDA-13-capable box; confirm before relying on it.
- **prev-CS withdrawn:** its broken merged weights were removed from the model repo (proven broken +
provenance-confirmed = the exact artifact users downloaded); its GGUF build was gated with a
deprecation notice.
- **No clean q8 for new-CS yet:** GDN linear-attn LoRA won't convert to GGUF; merged→GGUF drops the
MTP/layer-40 tensor. Deferred to a Stage-2 state-dict merge.
- **Stage-2 dataset targets** (all the same root β€” memorized-not-generalized on OOD): 2.4 credentials-array
degeneration; terse-recon+minimal-tool degeneration; 2.3 tool over-generalization (Grep for an nmap
task); 6.2 invalid sub-agent name ("nmap").
Raw outputs for every cell are retained at `ab_results/{cell}/{id}.txt` (no truncation).