POST
/api/v1/security/model-scanScan a model by URL / HuggingFace repo
Fetches a model artifact from a public source (HuggingFace repo, URL, or S3 https URL), SSRF-guarded, scans it for unsafe deserialization/backdoors, records a model_scans row, and returns the verdict inline (synchronous).
Authentication
Send Authorization: Bearer YOUR_API_KEY on every request. Generate API keys at /dashboard/settings/api-keys.
Request body required
Example
{
"projectId": "00000000-0000-0000-0000-000000000000",
"source": "huggingface",
"sourceRef": "<HF repo:filename / blob path, or an http>",
"filename": "string",
"maxBytes": 0
}Schema
{
"application/json": {
"schema": {
"type": "object",
"required": [
"projectId",
"source",
"sourceRef"
],
"properties": {
"projectId": {
"type": "string",
"format": "uuid"
},
"source": {
"type": "string",
"enum": [
"huggingface",
"url",
"s3"
]
},
"sourceRef": {
"type": "string",
"maxLength": 2000,
"description": "HF repo:filename / blob path, or an https URL."
},
"filename": {
"type": "string",
"maxLength": 500
},
"maxBytes": {
"type": "integer",
"description": "Size cap; capped server-side at 2 GB."
}
}
}
}
}Response
201 example
{
"success": true
}All status codes
200OK.
201Scan recorded (scanId + result).
400(no description)
401(no description)
403Refusing to scan a private/internal URL (SSRF_BLOCKED).
409Conflict — CONFLICT.
429(no description)
500Internal Server Error — DB_ERROR.
502Bad Gateway — FETCH_FAILED.
Code samples
cURL
curl -X POST \
https://evalguard.ai/api/v1/security/model-scan \
-H "Authorization: Bearer $EVALGUARD_API_KEY" \
-H "Content-Type: application/json" \
-d '{ "projectId": "00000000-0000-0000-0000-000000000000", "source": "huggingface", "sourceRef": "<HF repo:filename / blob path, or an http>", "filename": "string", "maxBytes": 0 }'TypeScript
// The TypeScript SDK (@evalguard/sdk) exposes TYPED methods — runEval,
// getEval, runSecurityScan, checkFirewall, … — not a generic request().
// For an arbitrary endpoint, call it directly:
const res = await fetch("https://evalguard.ai/api/v1/security/model-scan", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.EVALGUARD_API_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"projectId": "00000000-0000-0000-0000-000000000000",
"source": "huggingface",
"sourceRef": "<HF repo:filename / blob path, or an http>",
"filename": "string",
"maxBytes": 0
}),
});
console.log(res.status, await res.json());Python
# The Python SDK (pip install evalguardai) exposes TYPED methods on
# EvalGuardClient — run_eval, get_eval, … — not a generic request().
# For an arbitrary endpoint, call it directly:
import os
import requests
headers = {"Authorization": f"Bearer {os.environ['EVALGUARD_API_KEY']}"}
headers["Content-Type"] = "application/json"
response = requests.request(
"POST",
"https://evalguard.ai/api/v1/security/model-scan",
headers=headers,
json={
"projectId": "00000000-0000-0000-0000-000000000000",
"source": "huggingface",
"sourceRef": "<HF repo:filename / blob path, or an http>",
"filename": "string",
"maxBytes": 0
},
)
print(response.status_code, response.json())Go
package main
import (
"context"
"fmt"
"net/http"
"os"
"strings"
)
func main() {
body := strings.NewReader(`{"projectId":"00000000-0000-0000-0000-000000000000","source":"huggingface","sourceRef":"<HF repo:filename / blob path, or an http>","filename":"string","maxBytes":0}`)
req, _ := http.NewRequestWithContext(context.Background(), "POST", "https://evalguard.ai/api/v1/security/model-scan", body)
req.Header.Set("Authorization", "Bearer "+os.Getenv("EVALGUARD_API_KEY"))
req.Header.Set("Content-Type", "application/json")
resp, err := http.DefaultClient.Do(req)
if err != nil { panic(err) }
defer resp.Body.Close()
fmt.Println(resp.Status)
}Errors
400401403409429500502