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GHSA-hqjr-43r5-9q58

MEDIUM

MobSF has SQL Injection in its SQLite Database Viewer Utils

Also known asCVE-2026-33545
Published
Mar 24, 2026
Updated
Mar 27, 2026
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed

EPSS Exploitation Probability

via FIRST.org ↗
0.3%probability of exploitation in next 30 days
Lower Risk19th percentile+0.24%
0.00%0.26%0.52%0.78%0.0%0.0%0.0%0.3%Apr 26Jun 26Jun 26

EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.

Blast Radius

1 pkg affected
🐍mobsf

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.

Description

Description

MobSF's read_sqlite() function in mobsf/MobSF/utils.py (lines 542-566) uses Python string formatting (%) to construct SQL queries with table names read from a SQLite database's sqlite_master table. When a security analyst uses MobSF to analyze a malicious mobile application containing a crafted SQLite database, attacker-controlled table names are interpolated directly into SQL queries without parameterization or escaping.

This allows an attacker to:

  1. Cause Denial of Service -- A malicious table name causes the database viewer to crash, preventing the analyst from viewing ANY data in the SQLite database. A malicious app can use this to hide sensitive data (C2 server URLs, stolen credentials, API keys) from MobSF's analysis.

  2. Achieve SQL Injection -- The SELECT * FROM query on line 557 is provably injectable via UNION SELECT, allowing attacker-controlled data to be returned in query results. The current code structure (a PRAGMA statement that runs first on line 553) limits the full exploitation chain, but the underlying code is verifiably injectable.

Root Cause

The vulnerable code in mobsf/MobSF/utils.py:542-566:

def read_sqlite(sqlite_file):
    """Sqlite Dump - Readable Text."""
    table_dict = {}
    try:
        con = sqlite3.connect(sqlite_file)
        cur = con.cursor()
        cur.execute('SELECT name FROM sqlite_master WHERE type=\'table\';')
        tables = cur.fetchall()
        for table in tables:
            table_dict[table[0]] = {'head': [], 'data': []}
            cur.execute('PRAGMA table_info(\'%s\')' % table)    # <-- INJECTION POINT 1
            rows = cur.fetchall()
            for sq_row in rows:
                table_dict[table[0]]['head'].append(sq_row[1])
            cur.execute('SELECT * FROM \'%s\'' % table)         # <-- INJECTION POINT 2
            rows = cur.fetchall()
            for sq_row in rows:
                tmp_row = []
                for each_row in sq_row:
                    tmp_row.append(str(each_row))
                table_dict[table[0]]['data'].append(tmp_row)
    except Exception:
        logger.exception('Reading SQLite db')
    return table_dict

Lines 553 and 557 use % string formatting to interpolate table (a tuple from sqlite_master) directly into SQL strings. The table value is attacker-controlled when the SQLite database originates from a malicious application being analyzed.

Attack Vector

The read_sqlite() function is called from two locations:

  1. Dynamic Analysis File Viewer (mobsf/DynamicAnalyzer/views/common/device.py:64):

    • Triggered when an analyst clicks to view a .db file in device data
    • Applies to both Android and iOS dynamic analysis
  2. iOS Static Analysis File Viewer (mobsf/StaticAnalyzer/views/ios/views/view_source.py:123):

    • Triggered when an analyst clicks to view a .db file during iOS static analysis

Attack Scenario

  1. Attacker creates a malicious Android APK (or iOS IPA) containing a SQLite database with a crafted table name in the assets/ directory
  2. The SQLite database contains a table created with:
    CREATE TABLE "x' UNION SELECT 'SQL_INJECTION_PROOF'--" (id INTEGER);
    
  3. Security analyst uploads the application to MobSF for analysis
  4. Analyst browses the extracted files and clicks to view the SQLite database
  5. MobSF's read_sqlite() reads table names from sqlite_master, including the malicious name x' UNION SELECT 'SQL_INJECTION_PROOF'--
  6. The table name is interpolated into SQL queries via string formatting:
    • PRAGMA table_info('x' UNION SELECT 'SQL_INJECTION_PROOF'--') -- causes syntax error (DoS)
    • SELECT * FROM 'x' UNION SELECT 'SQL_INJECTION_PROOF'--' -- SQL injection (UNION SELECT returns attacker data)

Impact

Denial of Service (Confirmed)

When the malicious table name is the first table in sqlite_master (i.e., created first in the database), the PRAGMA statement on line 553 raises a sqlite3.OperationalError, which is caught by the outer try/except. This causes read_sqlite() to return an empty or partial result, preventing the analyst from viewing any database content.

Security impact: A malicious app author can use this technique to hide incriminating data stored in SQLite databases from MobSF's analysis. This directly undermines MobSF's core purpose as a security analysis tool.

SQL Injection (Confirmed in Isolation)

The SELECT * FROM query on line 557 is demonstrably injectable. When the malicious table name x' UNION SELECT 'SQL_INJECTION_PROOF'-- is interpolated, the resulting query:

SELECT * FROM 'x' UNION SELECT 'SQL_INJECTION_PROOF'--'

Successfully executes and returns attacker-controlled data via UNION SELECT. The -- comments out the trailing single quote. This is verified by the PoC script.

Note: In the current code structure, the PRAGMA table_info() statement on line 553 runs before the SELECT * FROM on line 557. The PRAGMA fails with a syntax error for injected payloads, which triggers the exception handler before the SELECT can execute. This limits the full exploitation chain. However, the code flaw is real and any future refactoring that changes the execution order or removes the PRAGMA would immediately expose the full SQL injection.

Proof of Concept

Files Provided(Gdrive)

FileDescription
poc_sqlite_injection.pyStandalone PoC demonstrating the vulnerability
malicious.dbCrafted SQLite database (generated by PoC)
create_malicious_apk.shScript to package the malicious DB into an APK
malicious_sqli.apkPre-built APK for testing against MobSF

https://drive.google.com/drive/folders/1mNGkFfNowkaZ5J018HFi4IQcnjKaWCym?usp=sharing

Running the PoC

# Run the standalone PoC (no MobSF required)
python3 poc_sqlite_injection.py

# Build the malicious APK (requires Android SDK)
./create_malicious_apk.sh

# Test against MobSF
# 1. Start MobSF
# 2. Upload malicious_sqli.apk
# 3. Browse extracted files -> click app_data.db
# 4. Observe: database viewer fails (DoS)

PoC Output (Abbreviated)

[STEP 2] Running MobSF's read_sqlite() against malicious database...
    [!] EXCEPTION CAUGHT: OperationalError: near "UNION": syntax error
    [!] DoS CONFIRMED: read_sqlite() crashed

[STEP 3] Demonstrating SELECT * FROM injection in isolation...
    Query: SELECT * FROM 'x' UNION SELECT 'SQL_INJECTION_PROOF'--'
    [+] Query executed successfully!
    [+] Results: [('SQL_INJECTION_PROOF',), ('normal_data',)]
    [+] SQL INJECTION CONFIRMED

[STEP 4] Complete DoS (malicious table created first):
    Tables with data: NONE
    [!] COMPLETE DoS CONFIRMED

Suggested Fix

Replace string formatting with properly quoted identifiers. SQLite uses double quotes for identifiers:

def read_sqlite(sqlite_file):
    """Sqlite Dump - Readable Text."""
    table_dict = {}
    try:
        con = sqlite3.connect(sqlite_file)
        cur = con.cursor()
        cur.execute('SELECT name FROM sqlite_master WHERE type=\'table\';')
        tables = cur.fetchall()
        for table in tables:
            table_name = table[0]
            # Properly escape table name as a double-quoted identifier
            safe_name = table_name.replace('"', '""')
            table_dict[table_name] = {'head': [], 'data': []}
            cur.execute(f'PRAGMA table_info("{safe_name}")')
            rows = cur.fetchall()
            for sq_row in rows:
                table_dict[table_name]['head'].append(sq_row[1])
            cur.execute(f'SELECT * FROM "{safe_name}"')
            rows = cur.fetchall()
            for sq_row in rows:
                tmp_row = []
                for each_row in sq_row:
                    tmp_row.append(str(each_row))
                table_dict[table_name]['data'].append(tmp_row)
    except Exception:
        logger.exception('Reading SQLite db')
    return table_dict

This escapes any double quotes within table names by doubling them ("""), which is the standard SQL mechanism for identifier quoting. This prevents breakout from the double-quoted identifier context.

Resources

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPImobsfall versions4.4.6

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for mobsf. O3's reachability analysis confirms whether the vulnerable code path is actually invoked in your application, so you act on real exposure instead of every transitive match.

  2. Fix

    Update mobsf to 4.4.6 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-hqjr-43r5-9q58 is resolved across your whole dependency graph.

  3. Workarounds

    If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.

  4. How O3 protects you

    O3 pinpoints whether GHSA-hqjr-43r5-9q58 is reachable in your code and exactly where to fix it, then blocks exploitation in production at runtime until the patched version is deployed.

Tailored to GHSA-hqjr-43r5-9q58. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

## Description MobSF's `read_sqlite()` function in `mobsf/MobSF/utils.py` (lines 542-566) uses Python string formatting (`%`) to construct SQL queries with table names read from a SQLite database's `sqlite_master` table. When a security analyst uses MobSF to analyze a malicious mobile application containing a crafted SQLite database, attacker-controlled table names are interpolated directly into SQL queries without parameterization or escaping. This allows an attacker to: 1. **Cause Denial of Service** -- A malicious table name causes the database viewer to crash, preventing the analyst fro
O3 Security · Impact-Aware SCA

Is GHSA-hqjr-43r5-9q58 in your dependencies?

O3 detects GHSA-hqjr-43r5-9q58 across PyPI dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.

GHSA-hqjr-43r5-9q58: mobsf SQL Injection (Medium 5.3) | O3 Security