github · RasmusWL · Feb 23, 2022 · Jan 25, 2022 · Jan 25, 2022 · Jan 25, 2022
@@ -2295,4 +2295,22 @@ module PrivateDjango {
 
     override string getMimetypeDefault() { none() }
   }
+
+  // ---------------------------------------------------------------------------
+  // Logging
+  // ---------------------------------------------------------------------------
+  /**
+   * A standard Python logger instance from Django.
+   * see https://github.com/django/django/blob/stable/4.0.x/django/utils/log.py#L11
+   */
+  private class DjangoLogger extends Stdlib::Logger::InstanceSource {
+    DjangoLogger() {
+      this =
+        API::moduleImport("django")
+            .getMember("utils")
+            .getMember("log")
+            .getMember("request_logger")
+            .getAnImmediateUse()
+    }
+  }
 }
@@ -9,6 +9,7 @@ private import semmle.python.dataflow.new.RemoteFlowSources
 private import semmle.python.dataflow.new.TaintTracking
 private import semmle.python.Concepts
 private import semmle.python.frameworks.Werkzeug
+private import semmle.python.frameworks.Stdlib
 private import semmle.python.ApiGraphs
 private import semmle.python.frameworks.internal.InstanceTaintStepsHelper
 private import semmle.python.security.dataflow.PathInjectionCustomizations
@@ -569,4 +570,18 @@ module Flask {
       result in [this.getArg(0), this.getArgByName("filename_or_fp")]
     }
   }
+
+  // ---------------------------------------------------------------------------
+  // Logging
+  // ---------------------------------------------------------------------------
+  /**
+   * A Flask application provides a standard Python logger via the `logger` attribute.
+   *
+   * See
+   * - https://flask.palletsprojects.com/en/2.0.x/api/#flask.Flask.logger
+   * - https://flask.palletsprojects.com/en/2.0.x/logging/
+   */
+  private class FlaskLogger extends Stdlib::Logger::InstanceSource {
+    FlaskLogger() { this = FlaskApp::instance().getMember("logger").getAnImmediateUse() }
+  }
 }
@@ -237,6 +237,54 @@ module Stdlib {
       }
     }
   }
+
+  // ---------------------------------------------------------------------------
+  // logging
+  // ---------------------------------------------------------------------------
+  /**
+   * Provides models for the `logging.Logger` class and subclasses.
+   *
+   * See https://docs.python.org/3.9/library/logging.html#logging.Logger.
+   */
+  module Logger {
+    /** Gets a reference to the `logging.Logger` class or any subclass. */
+    private API::Node subclassRef() {
+      result = API::moduleImport("logging").getMember("Logger").getASubclass*()
+    }
+
+    /**
+     * A source of instances of `logging.Logger`, extend this class to model new instances.
+     *
+     * This can include instantiations of the class, return values from function
+     * calls, or a special parameter that will be set when functions are called by an external
+     * library.
+     *
+     * Use the predicate `Logger::instance()` to get references to instances of `logging.Logger`.
+     */
+    abstract class InstanceSource extends DataFlow::LocalSourceNode { }
+
+    /** A direct instantiation of `logging.Logger`. */
+    private class ClassInstantiation extends InstanceSource, DataFlow::CfgNode {
+      ClassInstantiation() {
+        this = subclassRef().getACall()
+        or
+        this = API::moduleImport("logging").getMember("root").getAnImmediateUse()
+        or
+        this = API::moduleImport("logging").getMember("getLogger").getACall()
+      }
+    }
+
+    /** Gets a reference to an instance of `logging.Logger`. */
+    private DataFlow::TypeTrackingNode instance(DataFlow::TypeTracker t) {
+      t.start() and
+      result instanceof InstanceSource
+      or
+      exists(DataFlow::TypeTracker t2 | result = instance(t2).track(t2, t))
+    }
+
+    /** Gets a reference to an instance of `logging.Logger`. */
+    DataFlow::Node instance() { instance(DataFlow::TypeTracker::end()).flowsTo(result) }
+  }
 }
 
 /**
@@ -2642,27 +2690,6 @@ private module StdlibPrivate {
   // ---------------------------------------------------------------------------
   // logging
   // ---------------------------------------------------------------------------
-  /**
-   * Provides models for the `logging.Logger` class and subclasses.
-   *
-   * See https://docs.python.org/3.9/library/logging.html#logging.Logger.
-   */
-  module Logger {
-    /** Gets a reference to the `logging.Logger` class or any subclass. */
-    API::Node subclassRef() {
-      result = API::moduleImport("logging").getMember("Logger").getASubclass*()
-    }
-
-    /** Gets a reference to an instance of `logging.Logger` or any subclass. */
-    API::Node instance() {
-      result = subclassRef().getReturn()
-      or
-      result = API::moduleImport("logging").getMember("root")
-      or
-      result = API::moduleImport("logging").getMember("getLogger").getReturn()
-    }
-  }
-
   /**
    * A call to one of the logging methods from `logging` or on a `logging.Logger`
    * subclass.
@@ -2683,14 +2710,14 @@ private module StdlibPrivate {
         method = "log" and
         msgIndex = 1
       |
-        this = Logger::instance().getMember(method).getACall()
+        this.(DataFlow::MethodCallNode).calls(Stdlib::Logger::instance(), method)
         or
         this = API::moduleImport("logging").getMember(method).getACall()
       )
     }
 
     override DataFlow::Node getAnInput() {
-      result = this.getArgByName("msg")
+      result = this.getArgByName(["msg", "extra"])
       or
       result = this.getArg(any(int i | i >= msgIndex))
     }

@@ -0,0 +1,35 @@
+/**
+ * Provides a taint-tracking configuration for tracking untrusted user input used in log entries.
+ *
+ * Note, for performance reasons: only import this file if
+ * `LogInjection::Configuration` is needed, otherwise
+ * `LogInjectionCustomizations` should be imported instead.
+ */
+
+import python
+import semmle.python.dataflow.new.DataFlow
+import semmle.python.dataflow.new.TaintTracking
+
+/**
+ * Provides a taint-tracking configuration for tracking untrusted user input used in log entries.
+ */
+module LogInjection {
+  import LogInjectionCustomizations::LogInjection
+
+  /**
+   * A taint-tracking configuration for tracking untrusted user input used in log entries.
+   */
+  class Configuration extends TaintTracking::Configuration {
+    Configuration() { this = "LogInjection" }
+
+    override predicate isSource(DataFlow::Node source) { source instanceof Source }
+
+    override predicate isSink(DataFlow::Node sink) { sink instanceof Sink }
+
+    override predicate isSanitizer(DataFlow::Node node) { node instanceof Sanitizer }
+
+    override predicate isSanitizerGuard(DataFlow::BarrierGuard guard) {
+      guard instanceof SanitizerGuard
+    }
+  }
+}
@@ -0,0 +1,73 @@
+/**
+ * Provides default sources, sinks and sanitizers for detecting
+ * "log injection"
+ * vulnerabilities, as well as extension points for adding your own.
+ */
+
+private import python
+private import semmle.python.dataflow.new.DataFlow
+private import semmle.python.Concepts
+private import semmle.python.dataflow.new.RemoteFlowSources
+private import semmle.python.dataflow.new.BarrierGuards
+
+/**
+ * Provides default sources, sinks and sanitizers for detecting
+ * "log injection"
+ * vulnerabilities, as well as extension points for adding your own.
+ */
+module LogInjection {
+  /**
+   * A data flow source for "log injection" vulnerabilities.
+   */
+  abstract class Source extends DataFlow::Node { }
+
+  /**
+   * A data flow sink for "log injection" vulnerabilities.
+   */
+  abstract class Sink extends DataFlow::Node { }
+
+  /**
+   * A sanitizer for "log injection" vulnerabilities.
+   */
+  abstract class Sanitizer extends DataFlow::Node { }
+
+  /**
+   * A sanitizer guard for "log injection" vulnerabilities.
+   */
+  abstract class SanitizerGuard extends DataFlow::BarrierGuard { }
+
+  /**
+   * A source of remote user input, considered as a flow source.
+   */
+  class RemoteFlowSourceAsSource extends Source, RemoteFlowSource { }
+
+  /**
+   * A logging operation, considered as a flow sink.
+   */
+  class LoggingAsSink extends Sink {
+    LoggingAsSink() { this = any(Logging write).getAnInput() }
+  }
+
+  /**
+   * A comparison with a constant string, considered as a sanitizer-guard.
+   */
+  class StringConstCompareAsSanitizerGuard extends SanitizerGuard, StringConstCompare { }
+
+  /**
+   * A call to replace line breaks, considered as a sanitizer.
+   */
+  class ReplaceLineBreaksSanitizer extends Sanitizer, DataFlow::CallCfgNode {
+    // Note: This sanitizer is not 100% accurate, since:
+    // - we do not check that all kinds of line breaks are replaced
+    // - we do not check that one kind of line breaks is not replaced by another
+    //
+    // However, we lack a simple way to do better, and the query would likely
+    // be too noisy without this.
+    //
+    // TODO: Consider rewriting using flow states.
+    ReplaceLineBreaksSanitizer() {
+      this.getFunction().(DataFlow::AttrRead).getAttributeName() = "replace" and
+      this.getArg(0).asExpr().(StrConst).getText() in ["\r\n", "\n"]
+    }
+  }
+}
@@ -8,8 +8,11 @@
 
 <p>If unsanitized user input is written to a log entry, a malicious user may be able to forge new log entries.</p>
 
-<p>Forgery can occur if a user provides some input creating the appearance of multiple
-  log entries. This can include unescaped new-line characters, or HTML or other markup.</p>
+<p>Forgery can occur if a user provides some input with characters that are interpreted
+when the log output is displayed. If the log is displayed as a plain text file, then new
+line characters can be used by a malicious user to create the appearance of multiple log
+entries. If the log is displayed as HTML, then arbitrary HTML may be included to spoof
+log entries.</p>
 </overview>
 
 <recommendation>
@@ -29,14 +32,14 @@ other forms of HTML injection.
 
 <example>
 <p>
-In the example, the name provided by the user is recorded using the log output function (<code>logging.info</code> or <code>app.logger.info</code>, etc.). 
-In these four cases, the name provided by the user is not provided The processing is recorded. If a malicious user provides <code>Guest%0D%0AUser name: Admin</code> 
+In the example, the name provided by the user is recorded using the log output function (<code>logging.info</code> or <code>app.logger.info</code>, etc.).
+In these four cases, the name provided by the user is not provided The processing is recorded. If a malicious user provides <code>Guest%0D%0AUser name: Admin</code>
 as a parameter, the log entry will be divided into two lines, the first line is <code>User name: Guest</code> code>, the second line is <code>User name: Admin</code>.
 </p>
 <sample src="LogInjectionBad.py" />
 
 <p>
-In a good example, the program uses the <code>replace</code> function to provide parameter processing to the user, and replace <code>\r\n</code> and <code>\n</code> 
+In a good example, the program uses the <code>replace</code> function to provide parameter processing to the user, and replace <code>\r\n</code> and <code>\n</code>
 with empty characters. To a certain extent, the occurrence of log injection vulnerabilities is reduced.
 </p>
 

@@ -4,17 +4,18 @@
  *              insertion of forged log entries by a malicious user.
  * @kind path-problem
  * @problem.severity error
- * @precision high
+ * @security-severity 7.8
+ * @precision medium
  * @id py/log-injection
  * @tags security
  *       external/cwe/cwe-117
  */
 
 import python
-import experimental.semmle.python.security.injection.LogInjection
+import semmle.python.security.dataflow.LogInjection
 import DataFlow::PathGraph
 
-from LogInjectionFlowConfig config, DataFlow::PathNode source, DataFlow::PathNode sink
+from LogInjection::Configuration config, DataFlow::PathNode source, DataFlow::PathNode sink
 where config.hasFlowPath(source, sink)
 select sink.getNode(), source, sink, "$@ flows to log entry.", source.getNode(),
   "User-provided value"
@@ -0,0 +1,4 @@
+---
+category: newQuery
+---
+* The query "Log Injection" (`py/log-injection`) has been promoted from experimental to the main query pack. Its results will now appear when `security-extended` is used. This query was originally [submitted as an experimental query by @haby0](https://github.com/github/codeql/pull/6182).
@@ -14,36 +14,6 @@ private import semmle.python.dataflow.new.RemoteFlowSources
 private import semmle.python.dataflow.new.TaintTracking
 private import experimental.semmle.python.Frameworks
 
-/** Provides classes for modeling log related APIs. */
-module LogOutput {
-  /**
-   * A data flow node for log output.
-   *
-   * Extend this class to model new APIs. If you want to refine existing API models,
-   * extend `LogOutput` instead.
-   */
-  abstract class Range extends DataFlow::Node {
-    /**
-     * Get the parameter value of the log output function.
-     */
-    abstract DataFlow::Node getAnInput();
-  }
-}
-
-/**
- * A data flow node for log output.
- *
- * Extend this class to refine existing API models. If you want to model new APIs,
- * extend `LogOutput::Range` instead.
- */
-class LogOutput extends DataFlow::Node {
-  LogOutput::Range range;
-
-  LogOutput() { this = range }
-
-  DataFlow::Node getAnInput() { result = range.getAnInput() }
-}
-
 /** Provides classes for modeling LDAP query execution-related APIs. */
 module LDAPQuery {
   /**

@@ -8,7 +8,6 @@ private import experimental.semmle.python.frameworks.Django
 private import experimental.semmle.python.frameworks.Werkzeug
 private import experimental.semmle.python.frameworks.LDAP
 private import experimental.semmle.python.frameworks.NoSQL
-private import experimental.semmle.python.frameworks.Log
 private import experimental.semmle.python.frameworks.JWT
 private import experimental.semmle.python.libraries.PyJWT
 private import experimental.semmle.python.libraries.Authlib