DEMOThis report is public and visible to anyone with the link for 30 days, then deleted. Save privately — create free account
zero-length-tensor-name.gguf
Format: GGUF  ·  Size: 336 B  ·  Scanned: 2026-08-14
SHA256: feb2404f9e891067f6f5a6fb9331754087ccfba5…

Security grade

B
Score: 77/100
1 HIGH 1 MEDIUM
Artifact Security
B / 77
Repository Trust
N/A
local upload
Deployment Confidence
Medium
Artifact Security grades the file. Repository Trust is unavailable for local uploads — no external provenance to verify. Deployment Confidence reflects artifact grade only.
▶ Score breakdown
Base score 100
HIGH Tensor #1 has a zero-length name -15
MEDIUM Unusually high bits-per-parameter: 224.0 -8
Penalty subtotal 77/100
Final B / 77
GGUF v3 model | architecture: llama | quantization: F32 | 2 tensors | 1 blocking issue / 1 warning

Runtime compatibility

Runtime Status Quant Architecture Context
llama.cpp ✓ ✓ ✓ —
Ollama ✓ ✓ ✓ —
LM Studio ✓ ✓ ✓ —
vLLM ✗ N/A GGUF not supported — requires safetensors format
HuggingFace Transformers ✗ N/A GGUF not directly supported — use safetensors or PyTorch checkpoint

Model info

Architecture
Neural network family — determines which runtime can load this model
llama
Namequirky-quant-3b
Quantization
Weight storage format derived from actual tensor dtypes; lower bits = smaller file and faster inference at the cost of accuracy
 F32
Parameters ~
Estimated total number of weight values; determines VRAM needed at inference
12
Vocab size
Number of unique tokens the tokenizer knows; affects embedding table size
8
Chat template
Jinja2 prompt template embedded in model; controls how messages are formatted for inference
✗ No
Tensors
Total number of weight tensors stored in the file
2
License
Usage license declared in model metadata; check terms before commercial deployment
mit

Security findings (2)

HIGH Header Validation
Tensor #1 has a zero-length name
GGUF tensor names are length-prefixed strings; a declared length of 0 is spec-valid but leaves the tensor unidentifiable by name and has caused parsers to mis-resolve tensor offsets or dereference a null/empty name pointer, leading to a crash (DoS)
→ Reject this file; a production GGUF file should never contain an unnamed tensor
MEDIUM Resource Limits
Unusually high bits-per-parameter: 224.0
Values >128 bpp suggest most file content is not tensor data (padding, embedded files, or metadata bloat)
→ Investigate what occupies the non-tensor file space

Integrity & Structure

SHA-256feb2404f9e891067f6f5a6fb9331754087ccfba51c66fd964084f8dede8605de
SHA-51220ba2be8035a185545172dd23ec7387bb923228b490b7e8e0b1240c8802a1e6a0e1e073650737260…
File size (bytes)336
Header + KV + tensor directory288 bytes (0.00 MB)
Tensor data region48 bytes (0.00 MB)
Trailing bytes0
Unaccounted bytes0 ✓
KV metadata keys4
Tensors parsed2
Offsets monotone✓ OK
Max tensor offset32

DType Mix

DTypeCountTotal bytesTotal MBAvg bits/elem
F32 2 48 0.0 32.0

Tensor Preview (first 2)

#NameDimsDTypeOffsetBytesbits/elem
0 token_embd.weight [8] F32 0 32 32.0
1 [4] F32 32 16 32.0

Scan coverage

Checks performed
  • ✓Magic bytes & GGUF version validation
  • ✓Header parse (tensor count, KV count)
  • ✓KV metadata parse — all key/value pairs
  • ✓Tensor directory parse (names, dims, dtype, offsets)
  • ✓Tensor offset monotonicity
  • ✓Tensor overlap detection
  • ✓Tensor out-of-bounds detection
  • ✓Data section alignment verification
  • ✓Trailing bytes after last tensor
  • ✓Unaccounted bytes (header vs file size)
  • ✓Dtype histogram & quantization mix analysis
  • ✓Embedding tensor size cross-validation
  • ✓Chat template static scan (Jinja2/SSTI patterns)
  • ✓Runtime compatibility heuristics
  • —External model card / repository context: not available for local upload
  • —Upstream repository: not checked — not available for direct file upload
Not covered
  • ✗Runtime execution or dynamic analysis
  • ✗Behavioral backdoor detection
  • ✗Weight-level semantic backdoor detection
  • ✗Full upstream repository verification
  • ✗License validation beyond embedded metadata
  • ✗Malware scanning of surrounding repo files
  • ✗Adversarial robustness or alignment audit
  • ✗Training data provenance
ⓘ Static scanning can detect structural anomalies and known malicious patterns. It cannot guarantee absence of risk. Treat results as a security signal, not a formal audit.
Raw scan data (.llmscan JSON) 
{
  "compatibility": [
    {
      "arch": true,
      "container": true,
      "context": null,
      "notes": "GGUF v3 container: supported | quant F32: supported",
      "quant": true,
      "runtime": "llama.cpp",
      "supported": true
    },
    {
      "arch": true,
      "container": true,
      "context": null,
      "notes": "GGUF via llama.cpp backend: container and quantization supported",
      "quant": true,
      "runtime": "Ollama",
      "supported": true
    },
    {
      "arch": true,
      "container": true,
      "context": null,
      "notes": "GGUF container and quantization supported; GPU/CPU inference",
      "quant": true,
      "runtime": "LM Studio",
      "supported": true
    },
    {
      "arch": null,
      "container": false,
      "context": null,
      "not_supported_msg": "GGUF not supported \u2014 requires safetensors format",
      "notes": "GGUF not supported; requires safetensors format",
      "quant": false,
      "runtime": "vLLM",
      "supported": false
    },
    {
      "arch": null,
      "container": false,
      "context": null,
      "not_supported_msg": "GGUF not directly supported \u2014 use safetensors or PyTorch checkpoint",
      "notes": "GGUF not supported; requires safetensors or PyTorch checkpoint",
      "quant": false,
      "runtime": "HuggingFace Transformers",
      "supported": false
    }
  ],
  "format": "LLM-SCAN",
  "format_version": "1.0",
  "generator": {
    "name": "llmscan-engine",
    "version": "2.0.0"
  },
  "model": {
    "alignment": 32,
    "arch": "llama",
    "architecture": "llama",
    "basename": null,
    "block_count": null,
    "bos_token_id": null,
    "chat_template": null,
    "context_length": null,
    "dtype_histogram": {
      "F32": 2
    },
    "dtype_percentage": {
      "F32": 100.0
    },
    "dtype_stats": {
      "F32": {
        "avg_bits_per_elem": 32.0,
        "bytes": 48,
        "count": 2,
        "mb": 0.0
      }
    },
    "embedding_length": null,
    "eos_token_id": null,
    "feed_forward_length": null,
    "file_size_bytes": 336,
    "file_size_mb": 0.0,
    "finetune": null,
    "format": "gguf",
    "gguf_version": 3,
    "has_chat_template": false,
    "head_count": null,
    "head_count_kv": null,
    "header_kv_dir_bytes": 288,
    "kv_count": 4,
    "kv_meta": {
      "keys": [
        "general.architecture",
        "general.author",
        "general.license",
        "general.name"
      ],
      "kv_count": 4,
      "values_redacted": true
    },
    "license": "mit",
    "max_tensor_offset": 32,
    "misaligned_tensors": 0,
    "model_name": "quirky-quant-3b",
    "offsets_monotone": true,
    "oob_tensor_count": 0,
    "overlapping_tensor_pairs": 0,
    "param_estimate": 12,
    "params_estimate": 12,
    "quantization": "F32",
    "scanner_model_info": {
      "alignment": 32,
      "architecture": "llama",
      "basename": null,
      "block_count": null,
      "bos_token_id": null,
      "chat_template": null,
      "context_length": null,
      "data_section_start": 288,
      "dtype_histogram": {
        "F32": 2
      },
      "dtype_percentage": {
        "F32": 100.0
      },
      "dtype_stats": {
        "F32": {
          "avg_bits_per_elem": 32.0,
          "bytes": 48,
          "count": 2,
          "mb": 0.0
        }
      },
      "embedding_length": null,
      "eos_token_id": null,
      "feed_forward_length": null,
      "file_size_bytes": 336,
      "file_size_mb": 0.0,
      "finetune": null,
      "has_chat_template": false,
      "head_count": null,
      "head_count_kv": null,
      "header_end_offset": 278,
      "header_kv_dir_bytes": 288,
      "kv_count": 4,
      "kv_keys": [
        "general.architecture",
        "general.author",
        "general.license",
        "general.name"
      ],
      "license": "mit",
      "magic": "GGUF",
      "max_tensor_offset": 32,
      "misaligned_tensors": 0,
      "model_name": "quirky-quant-3b",
      "offsets_monotone": true,
      "oob_tensor_count": 0,
      "overlapping_tensor_pairs": 0,
      "param_estimate": 12,
      "quantization": "F32",
      "sha256": "feb2404f9e891067f6f5a6fb9331754087ccfba51c66fd964084f8dede8605de",
      "sha512": "20ba2be8035a185545172dd23ec7387bb923228b490b7e8e0b1240c8802a1e6a0e1e073650737260abbbd1a7ea1646a6e76ac7f903131a466eca62c6b698bc1d",
      "size_label": null,
      "tensor_bytes_sum": 48,
      "tensor_count": 2,
      "tensor_delta_bytes": 288,
      "tensor_delta_mb": 0.0,
      "tensor_preview": [
        {
          "bits_per_elem": 32.0,
          "byte_len": 32,
          "dims": [
            8
          ],
          "dtype_id": 0,
          "dtype_name": "F32",
          "index": 0,
          "name": "token_embd.weight",
          "offset": 0
        },
        {
          "bits_per_elem": 32.0,
          "byte_len": 16,
          "dims": [
            4
          ],
          "dtype_id": 0,
          "dtype_name": "F32",
          "index": 1,
          "name": "",
          "offset": 32
        }
      ],
      "tokenizer_model": null,
      "top_tensors_by_size": [
        {
          "byte_len": 32,
          "dims": [
            8
          ],
          "dtype": "F32",
          "n_elem": 8,
          "name": "token_embd.weight"
        },
        {
          "byte_len": 16,
          "dims": [
            4
          ],
          "dtype": "F32",
          "n_elem": 4,
          "name": ""
        }
      ],
      "trailing_bytes": 0,
      "unaccounted_bytes": 0,
      "version": 3,
      "vocab_size": 8
    },
    "sha256": "feb2404f9e891067f6f5a6fb9331754087ccfba51c66fd964084f8dede8605de",
    "sha512": "20ba2be8035a185545172dd23ec7387bb923228b490b7e8e0b1240c8802a1e6a0e1e073650737260abbbd1a7ea1646a6e76ac7f903131a466eca62c6b698bc1d",
    "size_label": null,
    "tensor_bytes_sum": 48,
    "tensor_count": 2,
    "tensor_delta_bytes": 288,
    "tensor_delta_mb": 0.0,
    "tensor_preview": [
      {
        "bits_per_elem": 32.0,
        "byte_len": 32,
        "dims": [
          8
        ],
        "dtype_id": 0,
        "dtype_name": "F32",
        "index": 0,
        "name": "token_embd.weight",
        "offset": 0
      },
      {
        "bits_per_elem": 32.0,
        "byte_len": 16,
        "dims": [
          4
        ],
        "dtype_id": 0,
        "dtype_name": "F32",
        "index": 1,
        "name": "",
        "offset": 32
      }
    ],
    "tokenizer_model": null,
    "top_tensors_by_size": [
      {
        "byte_len": 32,
        "dims": [
          8
        ],
        "dtype": "F32",
        "n_elem": 8,
        "name": "token_embd.weight"
      },
      {
        "byte_len": 16,
        "dims": [
          4
        ],
        "dtype": "F32",
        "n_elem": 4,
        "name": ""
      }
    ],
    "trailing_bytes": 0,
    "unaccounted_bytes": 0,
    "values_redacted": true,
    "vocab_size": 8
  },
  "report": {
    "bullets": [
      "GGUF v3 model | architecture: llama | quantization: F32 | 2 tensors | 1 blocking issue / 1 warning",
      "SHA256: feb2404f9e891067..."
    ],
    "recommendations": [
      "Reject this file; a production GGUF file should never contain an unnamed tensor",
      "Investigate what occupies the non-tensor file space"
    ],
    "summary": "GGUF v3 model | architecture: llama | quantization: F32 | 2 tensors | 1 blocking issue / 1 warning"
  },
  "scan_context": {
    "duration_ms": 0,
    "ended_at": "2026-08-14T22:29:35+00:00Z",
    "limits": {
      "sandbox": true,
      "timeout_ms": 60000
    },
    "mode": "static-deep",
    "started_at": "2026-08-14T22:29:35+00:00Z"
  },
  "security": {
    "findings": [
      {
        "category": "Header Validation",
        "detail": "GGUF tensor names are length-prefixed strings; a declared length of 0 is spec-valid but leaves the tensor unidentifiable by name and has caused parsers to mis-resolve tensor offsets or dereference a null/empty name pointer, leading to a crash (DoS)",
        "recommendation": "Reject this file; a production GGUF file should never contain an unnamed tensor",
        "severity": "HIGH",
        "title": "Tensor #1 has a zero-length name"
      },
      {
        "category": "Resource Limits",
        "detail": "Values \u003e128 bpp suggest most file content is not tensor data (padding, embedded files, or metadata bloat)",
        "recommendation": "Investigate what occupies the non-tensor file space",
        "severity": "MEDIUM",
        "title": "Unusually high bits-per-parameter: 224.0"
      }
    ],
    "grade": "B",
    "score": 77
  },
  "source": {
    "filename": "zero-length-tensor-name.gguf",
    "hashes": {
      "sha256": "feb2404f9e891067f6f5a6fb9331754087ccfba51c66fd964084f8dede8605de"
    },
    "input_type": "file",
    "size_bytes": 336
  },
  "tensors": {
    "count": 2,
    "dtype_histogram": {
      "F32": 2
    },
    "dtype_stats": {
      "F32": {
        "avg_bits_per_elem": 32.0,
        "bytes": 48,
        "count": 2,
        "mb": 0.0
      }
    },
    "integrity": {
      "header_kv_dir_bytes": 288,
      "misaligned_tensors": 0,
      "offsets_monotone": true,
      "oob_tensor_count": 0,
      "overlapping_tensor_pairs": 0,
      "tensor_bytes_sum": 48,
      "tensor_delta_bytes": 288,
      "tensor_delta_mb": 0.0,
      "trailing_bytes": 0,
      "unaccounted_bytes": 0
    },
    "preview": [
      {
        "bits_per_elem": 32.0,
        "byte_len": 32,
        "dims": [
          8
        ],
        "dtype_id": 0,
        "dtype_name": "F32",
        "index": 0,
        "name": "token_embd.weight",
        "offset": 0
      },
      {
        "bits_per_elem": 32.0,
        "byte_len": 16,
        "dims": [
          4
        ],
        "dtype_id": 0,
        "dtype_name": "F32",
        "index": 1,
        "name": "",
        "offset": 32
      }
    ]
  },
  "tokenizer": {
    "bos_token_id": null,
    "chat_template_chars": null,
    "eos_token_id": null,
    "has_chat_template": false,
    "type": null,
    "vocab_size": 8
  }
}