Source Code Security Review

Source Code Security Review

When to Use

You have authorized access to a web application's source code and need to find security vulnerabilities systematically.

This skill applies when:

• A penetration test or security audit includes source code access, and you want to find more vulnerabilities faster than black-box alone
• You need to identify backdoor passwords, hardcoded credentials, or logic flaws that are invisible to behavioral testing
• A black-box test revealed anomalous behavior and you want to trace its root cause in code
• You are reviewing an open-source component before integrating it into production

The foundational insight: Black-box testing is powerful but incomplete. Automated fuzzing can send hundreds of test cases per minute, but it cannot identify a backdoor password that only activates for a specific hardcoded value, a condition-guarded XSS that only triggers when a secondary parameter equals "3", or a buffer overflow buried in a native helper library. Source code review finds a different population of vulnerabilities than black-box testing. The two approaches are strongest when combined — code review guides where to probe interactively; interactive testing confirms whether code-level findings are actually exploitable.

Before starting: Establish the extent of any custom wrappers, library extensions, or application-specific abstractions around standard APIs. Applications may implement their own session storage, input sanitization utilities, or database access layers. Understanding these customizations is essential — a call to a custom safeQuery() wrapper may or may not prevent SQL injection depending on its implementation.

Authorized review only. This skill is for security professionals with explicit written authorization.

Context and Input Gathering

Required Context

• Platform(s) in use (Java, ASP.NET, PHP, Perl, JavaScript, or mix): Why: each platform has distinct source APIs for reading user input and distinct dangerous sink APIs. The Grep patterns and review focus differ entirely between a Java servlet application and a PHP script.

  • Check for: pom.xml / build.gradle (Java), *.csproj / Web.config (ASP.NET), *.php files, *.pl files, package.json (Node.js/JS)

• Scope of review (full codebase, specific modules, authentication only): Why: a large enterprise application may have hundreds of thousands of lines. Time-boxed reviews require prioritizing the highest-risk components. Without a defined scope, coverage is uneven.

  • If unspecified, start with authentication, session management, access control, and any component that processes user file access or external command execution

• Any existing SAST tool output: Why: avoids duplicating what automated analysis already found and focuses manual effort on classes of issues that tools reliably miss (logic flaws, race conditions, backdoors).

Observable Context (gather from codebase)

• Platform-specific configuration files: web.xml, Web.config, php.ini, .htaccess
• Framework identification: Spring, Struts, Django, Laravel, Rails annotations and imports
• Database access layer: ORM vs raw SQL, presence of prepared statement APIs
• Custom security utilities: classes or functions named sanitize, validate, encode, escape, filter
• Native code integration: JNI calls, P/Invoke, C extension includes, Runtime.exec / Process.Start

Process

Phase 1 — Map User-Input Entry Points

ACTION: Grep the codebase for platform-specific source APIs. Every location where user-controlled data enters the application is a potential source of tainted data. Build a catalog of entry points before tracing data flows.

WHY: Vulnerabilities arise when user-controlled data reaches a dangerous operation without proper validation or encoding. You cannot trace data flow without first knowing all the places data enters. Applications frequently receive input through less-obvious channels — HTTP headers, cookies, session-derived data from user registration, even the URL path itself. Missing an entry point means missing all vulnerabilities that originate from it.

AGENT: EXECUTES — Grep for platform-specific source APIs:

Java (HttpServletRequest / ServletRequest):

getParameter|getParameterNames|getParameterValues|getParameterMap
getQueryString|getHeader|getHeaders|getHeaderNames
getRequestURI|getRequestURL|getCookies|getRequestedSessionId
getInputStream|getReader|getRemoteUser|getUserPrincipal

ASP.NET (System.Web.HttpRequest):

Request\.Params|Request\.Item|Request\.Form|Request\.QueryString
Request\.ServerVariables|Request\.Headers|Request\.Url|Request\.RawUrl
Request\.UrlReferrer|Request\.Cookies|Request\.BinaryRead
Request\.Browser|Request\.UserAgent|Request\.AcceptTypes

PHP:

\$_GET|\$_POST|\$_COOKIE|\$_REQUEST|\$_FILES|\$_SERVER
\$HTTP_GET_VARS|\$HTTP_POST_VARS|\$HTTP_COOKIE_VARS
\$GLOBALS

Note: if register_globals is enabled in php.ini, any variable name may receive request parameter values. Line-by-line review is then required to track all uses of uninitialized variables.

Perl (CGI.pm):

->param\(|->param_fetch\(|->Vars\b|->cookie\(|->raw_cookie\(
->query_string\b|->referer\b|->self_url\b|->url\b
ReadParse

JavaScript (DOM sources):

document\.location|document\.URL|document\.URLUnencoded|document\.referrer
window\.location|location\.search|location\.hash|location\.href

NOTE: Also search for $GLOBALS (PHP), any class names ending in Request, HttpContext, HttpInput, or equivalent — applications commonly abstract input access behind wrapper classes.

Phase 2 — Trace Data Flow to Dangerous Sinks (Signature Scanning)

ACTION: For each vulnerability category below, grep for the dangerous sink APIs. For each hit, trace backward to determine whether user-controlled data from Phase 1 sources flows into that sink without adequate validation or encoding. Confirm or dismiss each candidate finding.

WHY: Signature scanning targets the highest-density locations of potential vulnerabilities first. A hard-coded SQL query fragment like "SELECT appearing in application code is almost always part of a SQL injection–vulnerable pattern. An eval() call receiving user input is almost always dangerous. This approach finds low-hanging fruit quickly, leaving remaining time for the subtler line-by-line review in Phase 3.

2.1 — Cross-Site Scripting (XSS)

Grep for output APIs that write user data to responses:

Java: response.getWriter().print|println|write, out.print|println, .InnerHtml, response.setHeader

ASP.NET: Response.Write|Response.Output.Write, \.InnerHtml\s*=, \.InnerText\s*=

PHP: echo\b|print\b|printf\b|vprintf\b, <?=

JavaScript (DOM sinks):

document\.write\(|document\.writeln\(|\.innerHTML\s*=
eval\(|window\.execScript\(|window\.setInterval\(|window\.setTimeout\(

Pattern to find: User input from a Phase 1 source is incorporated into HTML output without HTML-encoding. Example:

// Vulnerable: m_pageTitle set from request.getParameter("title") and
// later written into a <title> element without encoding
m_pageTitle = request.getParameter("title");

Trace m_pageTitle forward — if it is written to a response element or used to construct a link/HTML fragment without HtmlEncode() / escapeHtml() / HtmlUtils.htmlEscape(), this is a confirmed XSS.

Grep for SQL fragment strings to find XSS in query-string construction:

"SELECT |"INSERT |"DELETE |" WHERE |" AND |" OR |" ORDER BY

These patterns are case-insensitive; also search lowercase. The surrounding whitespace and quote distinguish SQL keyword strings from ordinary concatenated strings.

NOTE on filter-based mitigations: If a filter exists that blocks certain XSS payloads in the query string, trace it carefully. Filters applied to the wrong parameter, or applied before the vulnerable parameter is read, provide no protection.

2.2 — SQL Injection

Grep for raw SQL execution APIs:

Java: createStatement|Statement\.execute|Statement\.executeQuery|Statement\.executeUpdate

ASP.NET: SqlCommand|OleDbCommand|OdbcCommand|SqlDataAdapter|\.CommandText\s*=

PHP: mysql_query|mssql_query|pg_query|mysqli_query

Perl: ->selectall_arrayref|->do\b

For each hit, check whether the SQL string is constructed by concatenating user-controlled data. The presence of string fragments like " WHERE + variable or "SELECT * FROM + variable adjacent to a createStatement / execute call is a strong indicator.

Contrast with safe patterns: Presence of prepareStatement (Java), .Parameters.Add (ASP.NET), mysqli->prepare / stmt->bind_param (PHP), or ->prepare / ->execute (Perl) indicates parameterized queries — confirm that the prepared statement is actually used with bound parameters, not that the SQL string itself still incorporates concatenated user input before being prepared.

Database stored procedures: Extend this search to stored procedure definitions (.sql files, embedded SQL strings). A web application calling a parameterized stored procedure is safe only if the procedure itself does not construct dynamic SQL from its parameters. Search stored procedure code for dynamic SQL execution keywords: EXEC (MS-SQL, Sybase), EXECUTE IMMEDIATE (Oracle), EXEC SQL (DB2). If user-supplied procedure parameters are concatenated into these dynamic SQL strings, SQL injection exists in the database tier even when the application tier uses parameterized calls.

2.3 — Path Traversal

Grep for filesystem APIs:

Java: new File\(|FileInputStream|FileOutputStream|FileReader|FileWriter

ASP.NET: System\.IO\.File\.|FileStream\(|StreamReader\(|StreamWriter\(

PHP: fopen\(|readfile\(|file\(|fpassthru\(|include\(|require\(|include_once\(|require_once\(

Perl: open\s*\(|sysopen\s*\(

For each hit, determine whether the filename parameter incorporates user-controlled data. The most common pattern is user data appended to a hard-coded base directory:

FileStream fs = new FileStream("C:\\temp\\" + userInput, FileMode.Open);

This is vulnerable if userInput is not canonicalized and verified to not contain .. sequences.

For PHP include() / require(): Also check whether the included file path can resolve to a remote URL (if allow_url_include is enabled in php.ini). Remote File Inclusion (RFI) produces arbitrary code execution.

Grep for filename-related parameter names as a quick surface finder:

AttachName|filename|filepath|file=|path=|template=|page=|include=

2.4 — Arbitrary Redirection

Grep for redirect APIs:

Java: sendRedirect\(|setStatus\(|addHeader\(

ASP.NET: HttpResponse\.Redirect\(|Response\.Status|Response\.StatusCode|Response\.AddHeader|Server\.Transfer Note: Server.Transfer changes the page processed server-side without issuing an HTTP redirect, so it cannot be exploited for external redirects — but it can still be used for internal access control bypass.

PHP: http_redirect\(|header\s*\(.*Location|HttpMessage::setResponseCode|HttpMessage::setHeaders

Perl: ->redirect\(

For each hit, check whether the redirect URL string is constructed from user-controllable data (e.g., a refURL query string parameter, a ReturnUrl form field). Also check client-side JavaScript for redirect patterns:

document.location = target;
window.location.href = url;

Trace whether the URL value originates from a DOM source (document.URL, document.referrer, location.search). After-validation canonicalization is a common bypass path — if the code calls unescape() after checking for //, the check can be bypassed with double-encoded slashes (%25252f%25252f).

2.5 — OS Command Injection

Grep for OS command execution APIs:

Java: Runtime\.getRuntime\(\)\.exec|Runtime\.exec\(

ASP.NET: Process\.Start\(|ProcessStartInfo

PHP: \bexec\s*\(|passthru\(|popen\(|proc_open\(|shell_exec\(|system\(, and the backtick operator `command`

Perl: system\s*\(|\bexec\s*\(|qx/|qx\(, and the backtick operator

C/C++ (native components): system\(|popen\(|execve\(|execl\(

For each hit, determine whether user-controlled data forms part of the command string. In Java, Runtime.exec(string) interprets shell metacharacters if the argument is a single string — but Runtime.exec(String[]) with arguments passed as separate array elements does not. Partial control of the command string may still be exploitable via argument injection (injecting command-line flags rather than shell metacharacters).

2.6 — Backdoor Passwords and Hidden Debug Functions

Grep for hardcoded credential patterns in authentication logic:

equals\(".*"\)|\.equals\('.*'\)|==\s*["']
password.*==|password.*equals|"admin"|"password"|"secret"

Grep for incriminating source code comments:

// bug|// problem|// bad|// hope|// todo|// fix|// overflow
// crash|// inject|// xss|// trust|# bug|# hack|# fixme
# todo|# xxx

These comment searches often surface developer-acknowledged vulnerabilities that were never resolved, temporary workarounds that became permanent, or security test code that was never removed. Example from production code:

char buf[200]; // I hope this is big enough
strcpy(buf, userinput);

Also look for: Unreferenced functions accessible via hidden URL parameters, debug=1 style logic branches, IP address allowlists that bypass authentication.

2.7 — Native Software Bugs (C/C++ components)

Buffer overflow — grep for unchecked buffer manipulation APIs:

\bstrcpy\b|\bstrcat\b|\bmemcpy\b|\bsprintf\b|\bgets\b|\bscanf\b

Also: their wide-character variants (wcscpy, wcscat, swprintf). For each hit, verify whether the destination buffer is large enough to accommodate the source data, and whether the source length is bounded. Even strncpy can be misused — check whether the size argument is strlen(src) rather than sizeof(dst) (the former still overflows if src exceeds dst's size).

Integer vulnerabilities — grep for signed/unsigned comparisons:

len\s*<\s*sizeof|size\s*<\s*sizeof|length\s*<\s*sizeof

If len is a signed integer compared to sizeof() (which returns an unsigned size_t), a user-supplied negative value for len passes the check and causes the subsequent unchecked copy to overwrite memory.

Format string vulnerabilities — grep for uncontrolled format strings:

\bprintf\s*(\s*[^"]\|fprintf\s*(\s*[^"][^,]\|syslog\s*(\s*[^,]*,\s*[^"]

The dangerous pattern is printf(userInput) instead of printf("%s", userInput). If the format string parameter is user-controllable, the attacker controls format specifiers — %n writes to arbitrary memory addresses, enabling code execution.

Phase 3 — Line-by-Line Review of High-Risk Components

ACTION: Select the components listed below for close sequential reading. The goal is not to find every vulnerability via signatures, but to understand the security logic and find flaws in its design or implementation — race conditions, time-of-check/time-of-use issues, bypasses enabled by edge cases, incorrect trust assumptions.

WHY: Many serious vulnerabilities are not detectable by grep — they require understanding the surrounding logic. An authentication bypass may exist because a conditional check that should be && is ||. A session fixation vulnerability requires reading the session initialization flow end-to-end. These subtler issues are common in precisely the most security-critical code.

Components to read line-by-line:

1. Authentication mechanisms — login logic, password comparison, account lockout, password reset flow, multi-factor verification. Look for: timing-based username enumeration, bypass conditions (OR instead of AND in credential checks), hardcoded fallback credentials, insecure token generation for password reset.

2. Session management — session token generation, storage, validation, and invalidation. Look for: use of java.util.Random (predictable) instead of SecureRandom, session tokens derived from user-controllable data, session fixation (token not rotated after login), logout that does not invalidate the server-side session.

3. Access control — per-resource authorization checks, role validation. Look for: missing checks on sensitive endpoints, checks that rely on client-supplied role data, checks placed after the sensitive operation rather than before.

4. Application-wide input validation utilities — any class or function named sanitize, validate, encode, escape. Look for: allowlist vs denylist (denylists are almost always bypassable), post-validation canonicalization (decoding after checking), validation applied to the wrong parameter.

5. Interfaces to external components — database connections, OS command helpers, file access wrappers, LDAP queries. Confirm that parameterization is consistently applied and that no code path bypasses the wrapper.

6. Native code (C/C++) integration points — any JNI, P/Invoke, or C extension boundary where Java/.NET managed data crosses into unmanaged memory. Data length and character set assumptions made in managed code may not hold in native code.

Phase 4 — Environment Configuration Review

ACTION: Read the platform configuration files and check the security-relevant settings below.

WHY: A perfectly written application can be made insecure by a misconfigured environment. Debug mode enabled in production exposes stack traces that reveal internal paths, class names, and database credentials. Permissive PHP register_globals creates uninitialized variable injection vectors that do not appear in the application source. Insecure cookie flags allow session token theft.

Java — web.xml:

• login-config: verify authentication method; if forms-based, check action is j_security_check with correct parameter names (j_username, j_password)
• security-constraint with url-pattern: verify all sensitive paths are covered; gaps mean unauthenticated access
• session-config session-timeout: overly long or zero timeout increases session hijacking window
• error-page: verify error codes map to custom pages (not stack traces)
• init-param: check listings is false and debug is 0

ASP.NET — Web.config:

• httpCookies httpOnlyCookies="true": prevents JavaScript cookie theft; requireSSL="true" prevents cookie transmission over HTTP
• sessionState timeout: session lifetime
• compilation debug="false": debug symbols expose internals
• customErrors mode="On" or "RemoteOnly": prevents detailed error disclosure to users
• httpRuntime enableHeaderChecking="true" (default): request header injection defense; enableVersionHeader="false": prevents version disclosure

PHP — php.ini:

• register_globals = Off: if On, all request parameters become global variables — mandatory Off for any application not specifically designed for it
• display_errors = Off: prevents PHP errors from leaking to users; use log_errors + error_log instead
• allow_url_fopen and allow_url_include: if On, include() can load remote URLs — Remote File Inclusion vector
• magic_quotes_gpc: if On, single quotes in request parameters are auto-escaped — affects SQL injection testability; however magic quotes do not prevent numeric injection or second-order injection (data read from DB is unescaped); removed in PHP 6
• safe_mode: if On, restricts shell_exec, exec execution paths — but bypassable; not a security panacea; removed in PHP 6
• file_uploads and upload_tmp_dir: confirm uploaded files are stored in a non-web-accessible temporary path

Perl: Check for taint mode (-T flag in shebang #!/usr/bin/perl -T). Taint mode marks all user input as tainted and prevents tainted data from reaching dangerous functions (eval, system, exec, open) without explicit pattern-match untainting. If taint mode is not enabled, no framework-level protection exists against injection. If it is enabled, verify the untainting regexes are sufficiently restrictive — overly broad patterns (e.g., (.*)) that extract arbitrary content defeat the protection.

Phase 5 — Document Findings

ACTION: For each confirmed vulnerability, record: vulnerability class, CWE identifier, severity, file path and line number(s), evidence (code snippet showing source → sink flow), and countermeasure.

Severity guidance:

• Critical: OS command injection with code execution, SQL injection with data access or authentication bypass, Remote File Inclusion, backdoor credentials
• High: Arbitrary file read via path traversal, XSS in authenticated context or on sensitive page, SQL injection limited to read-only data, stored XSS
• Medium: Reflected XSS in unauthenticated context, open redirect, Local File Inclusion, insecure direct object reference
• Low: Incriminating comments, configuration weaknesses without direct exploitability, verbose error disclosure

Output format:

## Source Code Security Review — [Application Name]
Date: [date]  |  Reviewer: [name]  |  Platform: [Java/PHP/etc]
Scope: [files or modules reviewed]

### FINDING-001 — [Vulnerability Class] — [File:Line]
- CWE: CWE-XX
- Severity: [Critical | High | Medium | Low]
- Location: [path/to/file.java:42]
- Evidence: [2-5 line code snippet showing the vulnerable pattern]
- Root cause: [1-2 sentences]
- Countermeasure: [specific fix]

## Coverage Summary
[Table: Phase | Files Reviewed | Findings]

Inputs

• Web application source code (all server-side files, client-side JavaScript, database scripts)
• Platform configuration files (web.xml, Web.config, php.ini)
• Any existing SAST tool output (to focus manual effort on what tools miss)
• Scope definition: modules in scope, time budget

Outputs

A Source Code Security Review Report with:

• Per-finding entries (class, CWE, severity, location, evidence, countermeasure)
• Coverage summary (phases completed, files reviewed, findings count by severity)
• Prioritized remediation list

Key Principles

• White-box finds a different population of bugs than black-box. Backdoor passwords, condition-guarded logic flaws, and vulnerabilities that only activate for specific secondary parameter values are nearly impossible to find by fuzzing. Code review is not a replacement for behavioral testing — it is a complement that finds what fuzzing cannot.

• Trace the full data flow — source to sink. A dangerous API call is only a vulnerability if user-controlled data reaches it without adequate sanitization. Conversely, a piece of code that stores user data in a class field and later passes that field to a dangerous API is vulnerable even if the dangerous API call looks harmless in isolation. Never confirm or dismiss a finding without tracing the full path.

• Denylists fail; allowlists don't. Filters that block known-bad patterns (../, <script>, single quote) are routinely bypassed via URL encoding, Unicode encoding, case variation, or application-specific decoding. An application that validates input by allowlisting known-safe characters and rejecting everything else is structurally more robust. When you see a denylist filter protecting a dangerous API, treat it as a weak mitigant — look for bypasses.

• Post-validation canonicalization is always a bug. Any decoding, unescaping, or canonicalization performed after validation defeats the validation. If an application validates a redirect URL by checking for //, then calls unescape() on the value before using it, an attacker can encode the slashes as %252f%252f (percent-encoding the percent sign), pass validation, then have unescape() decode to //.

• Configuration is part of the attack surface. PHP register_globals, ASP.NET debug mode, and Java listings=true each create vulnerabilities that are not visible anywhere in the application source files. Always read the configuration files as part of the review scope.

• Database stored procedures are not automatically safe. Using parameterized calls from application code to invoke a stored procedure prevents SQL injection in the application tier — but if the stored procedure itself constructs dynamic SQL by concatenating its parameters, the vulnerability simply moves one layer deeper. Include stored procedure and trigger code in the review scope.

Examples

Scenario: Penetration test with source access — Java banking application Trigger: "We're granting you source access for this pentest. The application handles fund transfers and user account management." Process:

1. Phase 1: Grep for getParameter — finds 47 call sites. Note request.getParameter("title") stored in m_pageTitle field in PageController.java:88.
2. Phase 2.1 (XSS): Grep for InnerHtml — finds objCell.InnerHtml = link in ReportView.java:204. Trace link backward — constructed by string concatenation from HttpUtility.UrlDecode(Request.QueryString["refURL"]) without HTML-encoding. Confirmed reflected XSS (CWE-79, High). Also trace m_pageTitle forward — finds it written into <title> element in template renderer without encoding. Second XSS confirmed, conditionally triggerable (requires type=3).
3. Phase 2.2 (SQL injection): Grep for createStatement — finds s.executeQuery("SELECT name, accno FROM TblCustomers WHERE " + SqlWhere) in CustomerSearch.java:156. SqlWhere is built from Request.QueryString["CID"]. Confirmed SQL injection (CWE-89, Critical).
4. Phase 2.6 (Backdoor): Line-by-line review of AuthService.java — finds if (checkCredentials(up, password) || "oculiomnium".equals(password)) return up;. Hardcoded backdoor password grants access to any account (CWE-798, Critical). Output: 3 findings — Critical SQL injection, Critical backdoor password, High XSS (x2). Countermeasures: replace createStatement with prepareStatement; remove hardcoded password; HTML-encode all output via HtmlUtils.htmlEscape().

Scenario: Pre-launch PHP e-commerce application review Trigger: "We're launching next month. Please review our PHP codebase for security issues before we go live." Process:

1. Phase 1: Grep for PHP input sources — finds $_GET, $_POST, $_COOKIE in 23 files. Check php.ini — register_globals = On on their dev server; flag immediately.
2. Phase 2.3 (Path traversal + RFI): Grep for include( — finds include($_GET['page'] . '.php') in main.php:12. No allow_url_include check in code. Check php.ini — allow_url_include = 1. Confirmed Remote File Inclusion (CWE-98, Critical). Also: allow_url_fopen = 1 and display_errors = On in production config.
3. Phase 2.2 (SQL injection): Grep for mysql_query( — finds mysql_query("SELECT * FROM users WHERE username = '$username' AND password = '$password'") in login.php:34. Variables from $_POST without escaping. Confirmed SQL injection (CWE-89, Critical). magic_quotes_gpc = Off confirms no runtime escaping active.
4. Phase 2.5 (OS command injection): Grep for exec( — finds exec("convert " . $_POST['filename'] . " -resize 100x100 output.jpg") in image.php:67. Confirmed OS command injection via shell metacharacters (CWE-78, Critical).
5. Phase 4 (Config): display_errors = On in php.ini — leaks stack traces and DB credentials to users (Low). register_globals = On — creates uninitialized variable injection vectors (High). Output: 3 Critical findings, 1 High, 1 Low. Countermeasures: disable allow_url_include and allow_url_fopen; replace mysql_query with mysqli->prepare; replace shell exec with ImageMagick PHP extension API; set display_errors = Off + log_errors = On; set register_globals = Off.

Scenario: Security audit of a PHP/JavaScript SPA — focus on client-side and database tier Trigger: "Our application is a single-page app with a PHP API backend. We've had a report of potential DOM-based XSS and we want to understand our stored procedure security posture." Process:

1. Phase 2.1 (DOM XSS): Grep JavaScript for DOM sources and sinks — finds url = document.URL; index = url.indexOf('?redir='); target = unescape(url.substring(index + 7, url.length)); document.location = target; in redirect.js:22. Script checks for // to block absolute URLs but calls unescape() afterward. Confirmed DOM-based open redirect and XSS via ?redir=%2500javascript:alert(1) (CWE-601 + CWE-79, High). Post-validation canonicalization bypass.
2. Phase 2.2 (Stored procedure SQL injection): Review .sql migration files — finds CREATE PROCEDURE show_current_orders (@name varchar(400) = NULL) AS DECLARE @sql nvarchar(4000) SELECT @sql = 'SELECT id_num, searchstring FROM searchorders WHERE ' + 'searchstring = ''' + @name + ''''; EXEC (@sql) GO. Even if the application calls this procedure with a parameterized API, the procedure itself constructs dynamic SQL from @name — confirmed stored procedure SQL injection (CWE-89, High).
3. Phase 3 (Session management): Line-by-line review of TokenGenerator.java — uses java.util.Random (not cryptographically secure) to generate session tokens. Session tokens are predictable given sufficient samples (CWE-338, High). Output: 3 High findings — DOM-based XSS/redirect, stored procedure SQL injection, predictable session tokens. Countermeasures: remove unescape() call from redirect script; rewrite stored procedure using sp_executesql with parameterized query; replace java.util.Random with java.security.SecureRandom.

References

• Per-platform source and sink API tables: platform-api-reference.md
• Environment configuration security settings: environment-config-reference.md
• CWE and OWASP mapping for findings: vuln-cwe-owasp-mapping.md
• Source: Stuttard, D. & Pinto, M. (2011). The Web Application Hacker's Handbook (2nd ed.), Chapter 19: "Finding Vulnerabilities in Source Code," pp. 701-745. Wiley.

License

This skill is licensed under CC-BY-SA-4.0. Source: BookForge — The Web Application Hacker's Handbook: Finding and Exploiting Security Flaws by Dafydd Stuttard, Marcus Pinto.

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