Pass function addresses to bat-ana

scripts/gen-training.py

@@ -18,11 +18,17 @@ linere = re.compile(r"symbol\(([^,]+), (func|method), '([^)]+)'\)\.")
 anafile = NamedTemporaryFile(prefix=os.path.basename(bname) + "_", suffix=".bat_ana")
 ananame = anafile.name
 
-subprocess.check_output("/data/research/rose/install-latest/bin/bat-ana --no-post-analysis -o %s %s 2>/dev/null" % (ananame, bname), shell=True)
 
-def get_all_dis():
+def get_all_dis(addrs=None):
 
-    output = subprocess.check_output("/data/research/rose/install-latest/bin/bat-dis --no-insn-address --no-bb-cfg-arrows --color=off %s 2>/dev/null" % (ananame), shell=True)
+    addrstr = ""
+    if addrs is not None:
+        addrstr = " ".join([f"--function-at {x}" for x in addrs])
+
+    subprocess.check_output(f"/data/research/rose/install-latest/bin/bat-ana {addrstr} --no-post-analysis -o {ananame} {bname} 2>/dev/null", shell=True)
+
+
+    output = subprocess.check_output(f"/data/research/rose/install-latest/bin/bat-dis --no-insn-address --no-bb-cfg-arrows --color=off {ananame} 2>/dev/null", shell=True)
     output = re.sub(b' +', b' ', output)
 
     func_dis = {}
@@ -62,10 +68,11 @@ def get_dis(addr):
     except subprocess.CalledProcessError:
         return None
 
-all_dis = get_all_dis()
 #objs = []
 df = pandas.DataFrame(columns=['Binary', 'Addr', 'Name', 'Type', 'Disassembly'])
 
+parsed_data = []
+
 with open(gname, "r") as f:
     for l in f:
 
@@ -76,19 +83,28 @@ with open(gname, "r") as f:
             name = m.group(3)
             #print([addr, typ, name])
 
-            dis = get_dis_from_all_dis(int(addr, 16))
-            #objs.append((addr, typ, name, dis))
-            if dis is None:
-                dis = ""
-                typ = "notfound"
-            else:
-                dis = dis.decode("utf8")
-
-            df = df.append({'Binary': bname, 'Addr': addr, 'Name': name, 'Type': typ, 'Disassembly': dis}, ignore_index=True)
-            
-            if False:
-                df.to_csv(oname, index=False)
+            parsed_data.append((addr,typ,name))
+
             #print(df.head())
+
+all_addrs = set(x[0] for x in parsed_data)
+
+all_dis = get_all_dis(all_addrs)
+
+for addr, typ, name in parsed_data:
+
+    dis = get_dis_from_all_dis(int(addr, 16))
+    #objs.append((addr, typ, name, dis))
+    if dis is None:
+        dis = ""
+        typ = "notfound"
+    else:
+        dis = dis.decode("utf8")
+
+    df = df.append({'Binary': bname, 'Addr': addr, 'Name': name, 'Type': typ, 'Disassembly': dis}, ignore_index=True)
+    
+    if False:
+        df.to_csv(oname, index=False)
     
 df.to_csv(oname, index=False)