See ChangeLog: Mon Jul 31 10:04:47 CEST 2000 Werner Koch

This commit is contained in:
Werner Koch 2000-07-31 08:04:16 +00:00
parent d81c3f733b
commit 7a8c8b4826
26 changed files with 7611 additions and 7251 deletions

View File

@ -1,3 +1,8 @@
Mon Jul 31 10:04:47 CEST 2000 Werner Koch <wk@openit.de>
* pubkey.c: Replaced all gcry_sexp_{car,cdr}_{data,mpi} by the new
gcry_sexp_nth_{data,mpi} functions.
Tue Jul 25 17:44:15 CEST 2000 Werner Koch <wk@openit.de>
* pubkey.c (exp_to_key,sexp_to_sig,sexp_to_enc,gcry_pk_encrypt,

View File

@ -704,7 +704,7 @@ sexp_to_key( GCRY_SEXP sexp, int want_private, MPI **retarray, int *retalgo)
l2 = gcry_sexp_cadr( list );
gcry_sexp_release ( list );
list = l2;
name = gcry_sexp_car_data( list, &n );
name = gcry_sexp_nth_data( list, 0, &n );
if( !name ) {
gcry_sexp_release ( list );
return GCRYERR_INV_OBJ; /* invalid structure of object */
@ -737,7 +737,7 @@ sexp_to_key( GCRY_SEXP sexp, int want_private, MPI **retarray, int *retalgo)
gcry_sexp_release ( list );
return GCRYERR_NO_OBJ; /* required parameter not found */
}
array[idx] = gcry_sexp_cdr_mpi( l2, GCRYMPI_FMT_USG );
array[idx] = gcry_sexp_nth_mpi( l2, 1, GCRYMPI_FMT_USG );
gcry_sexp_release ( l2 );
if( !array[idx] ) {
for(i=0; i<idx; i++)
@ -756,7 +756,7 @@ sexp_to_key( GCRY_SEXP sexp, int want_private, MPI **retarray, int *retalgo)
gcry_sexp_release ( list );
return GCRYERR_NO_OBJ; /* required parameter not found */
}
array[idx] = gcry_sexp_cdr_mpi( l2, GCRYMPI_FMT_USG );
array[idx] = gcry_sexp_nth_mpi( l2, 1, GCRYMPI_FMT_USG );
gcry_sexp_release ( l2 );
if( !array[idx] ) {
for(i=0; i<idx; i++)
@ -790,17 +790,12 @@ sexp_to_sig( GCRY_SEXP sexp, MPI **retarray, int *retalgo)
list = gcry_sexp_find_token( sexp, "sig-val" , 0 );
if( !list )
return GCRYERR_INV_OBJ; /* Does not contain a signature value object */
l2 = gcry_sexp_cdr( list );
l2 = gcry_sexp_cadr( list );
gcry_sexp_release ( list );
list = l2;
if( !list )
return GCRYERR_NO_OBJ; /* no cdr for the sig object */
l2 = gcry_sexp_car( list );
gcry_sexp_release ( list );
list = l2;
if( !list )
return GCRYERR_NO_OBJ; /* no car for the key object */
name = gcry_sexp_car_data( list, &n );
return GCRYERR_NO_OBJ; /* no cadr for the sig object */
name = gcry_sexp_nth_data( list, 0, &n );
if( !name ) {
gcry_sexp_release ( list );
return GCRYERR_INV_OBJ; /* invalid structure of object */
@ -829,7 +824,7 @@ sexp_to_sig( GCRY_SEXP sexp, MPI **retarray, int *retalgo)
gcry_sexp_release ( list );
return GCRYERR_NO_OBJ; /* required parameter not found */
}
array[idx] = gcry_sexp_cdr_mpi( l2, GCRYMPI_FMT_USG );
array[idx] = gcry_sexp_nth_mpi( l2, 1, GCRYMPI_FMT_USG );
gcry_sexp_release ( l2 );
if( !array[idx] ) {
g10_free( array );
@ -873,7 +868,7 @@ sexp_to_enc( GCRY_SEXP sexp, MPI **retarray, int *retalgo)
gcry_sexp_release ( list );
return GCRYERR_NO_OBJ; /* no cdr for the data object */
}
name = gcry_sexp_car_data( list, &n );
name = gcry_sexp_nth_data( list, 0, &n );
if( !name ) {
gcry_sexp_release ( list );
return GCRYERR_INV_OBJ; /* invalid structure of object */
@ -903,7 +898,7 @@ sexp_to_enc( GCRY_SEXP sexp, MPI **retarray, int *retalgo)
gcry_sexp_release ( list );
return GCRYERR_NO_OBJ; /* required parameter not found */
}
array[idx] = gcry_sexp_cdr_mpi( l2, GCRYMPI_FMT_USG );
array[idx] = gcry_sexp_nth_mpi( l2, 1, GCRYMPI_FMT_USG );
gcry_sexp_release ( l2 );
if( !array[idx] ) {
g10_free( array );
@ -964,7 +959,7 @@ gcry_pk_encrypt( GCRY_SEXP *r_ciph, GCRY_SEXP s_data, GCRY_SEXP s_pkey )
algo_elems = enc_info_table[i].elements;
/* get the stuff we want to encrypt */
data = gcry_sexp_car_mpi( s_data, 0 );
data = gcry_sexp_nth_mpi( s_data, 0, 0 );
if( !data ) {
release_mpi_array( pkey );
return GCRYERR_INV_OBJ;
@ -1139,7 +1134,7 @@ gcry_pk_sign( GCRY_SEXP *r_sig, GCRY_SEXP s_hash, GCRY_SEXP s_skey )
algo_elems = sig_info_table[i].elements;
/* get the stuff we want to sign */
hash = gcry_sexp_car_mpi( s_hash, 0 );
hash = gcry_sexp_nth_mpi( s_hash, 0, 0 );
if( !hash ) {
release_mpi_array( skey );
return -1; /* fixme: get a real errorcode for this */
@ -1232,7 +1227,7 @@ gcry_pk_verify( GCRY_SEXP s_sig, GCRY_SEXP s_hash, GCRY_SEXP s_pkey )
return -1; /* fixme: add real errornumber - algo does not match */
}
hash = gcry_sexp_car_mpi( s_hash, 0 );
hash = gcry_sexp_nth_mpi( s_hash, 0, 0 );
if( !hash ) {
release_mpi_array( pkey );
release_mpi_array( sig );
@ -1330,7 +1325,7 @@ gcry_pk_genkey( GCRY_SEXP *r_key, GCRY_SEXP s_parms )
list = l2;
if( !list )
return GCRYERR_NO_OBJ; /* no cdr for the genkey */
name = gcry_sexp_car_data( list, &n );
name = gcry_sexp_nth_data( list, 0, &n );
if( !name ) {
gcry_sexp_release ( list );
return GCRYERR_INV_OBJ; /* algo string missing */
@ -1355,8 +1350,8 @@ gcry_pk_genkey( GCRY_SEXP *r_key, GCRY_SEXP s_parms )
gcry_sexp_release ( list );
list = l2;
if( !list )
return GCRYERR_NO_OBJ; /* no nbits aparemter */
name = gcry_sexp_cdr_data( list, &n );
return GCRYERR_NO_OBJ; /* no nbits parameter */
name = gcry_sexp_nth_data( list, 1, &n );
if( !name ) {
gcry_sexp_release ( list );
return GCRYERR_INV_OBJ; /* nbits without a cdr */
@ -1416,6 +1411,8 @@ gcry_pk_genkey( GCRY_SEXP *r_key, GCRY_SEXP s_parms )
mpis[nelem++] = skey[i];
}
p = stpcpy ( p, "))" );
/* Very ugly hack to make release_mpi_array() work FIXME */
skey[i] = NULL;
p = stpcpy ( p, "(misc-key-info(pm1-factors" );
for(i=0; factors[i]; i++ ) {
@ -1432,7 +1429,6 @@ gcry_pk_genkey( GCRY_SEXP *r_key, GCRY_SEXP s_parms )
* we have. which normally should be no problem as only those
* with a corresponding %m are used
*/
log_debug ("retstr=`%s'\n", string);
if ( gcry_sexp_build ( r_key, NULL, string,
mpis[0], mpis[1], mpis[2], mpis[3], mpis[4], mpis[5],
mpis[6], mpis[7], mpis[8], mpis[9], mpis[10], mpis[11],

View File

@ -1,3 +1,13 @@
Mon Jul 31 10:04:47 CEST 2000 Werner Koch <wk@openit.de>
* encode.c, sign.c, keygen.c, pubkey-enc.c: Replaced all
gcry_sexp_{car,cdr}_{data,mpi} by the new gcry_sexp_nth_{data,mpi} functions.
* keygen.c (gen_dsa,gen_elg): Changed the way the factors are stored.
(factors_from_sexp): Removed.
* comment.c (make_mpi_comment_node): Removed.
(make_comment_node_from_buffer): New.
Fri Jul 28 18:19:11 CEST 2000 Werner Koch <wk@openit.de>
* sig-check.c (pk_verify): Fixed the S-Exp withe the pkey.

View File

@ -1,7 +1,5 @@
# Some notes used by the maintainers
print-hmac
# test function to print a HMAC
store
# simply packs the input data into a rfc1991 packet format
@ -21,6 +19,6 @@ compress-sigs
run-as-shm-coprocess [request-locked-shm-size]
# very special :-)
# You will have to use "--status-fd" too
# Note: This option dioes only work if given on the command line.
# Note: This option does only work if given on the command line.

View File

@ -63,10 +63,9 @@ write_comment( IOBUF out, const char *s )
KBNODE
make_comment_node( const char *s )
make_comment_node_from_buffer( const char *s, size_t n )
{
PACKET *pkt;
size_t n = strlen(s);
pkt = gcry_xcalloc( 1, sizeof *pkt );
pkt->pkttype = PKT_COMMENT;
@ -76,26 +75,11 @@ make_comment_node( const char *s )
return new_kbnode( pkt );
}
KBNODE
make_mpi_comment_node( const char *s, MPI a )
make_comment_node( const char *s )
{
PACKET *pkt;
char *buf, *pp;
unsigned n1;
size_t n = strlen(s);
if( gcry_mpi_aprint( GCRYMPI_FMT_PGP, &buf, &n1, a ) )
BUG();
pkt = gcry_xcalloc( 1, sizeof *pkt );
pkt->pkttype = PKT_COMMENT;
pkt->pkt.comment = gcry_xmalloc( sizeof *pkt->pkt.comment + n + 1 + n1 );
pkt->pkt.comment->len = n+1+2+n1;
pp = pkt->pkt.comment->data;
memcpy(pp, s, n+1);
memcpy(pp+n+1, buf, n1 );
gcry_free(buf);
return new_kbnode( pkt );
return make_comment_node_from_buffer ( s, strlen (s) );
}

View File

@ -78,13 +78,13 @@ pk_encrypt( int algo, MPI *resarr, MPI data, MPI *pkey )
else { /* add better error handling or make gnupg use S-Exp directly */
GCRY_SEXP list = gcry_sexp_find_token( s_ciph, "a" , 0 );
assert( list );
resarr[0] = gcry_sexp_cdr_mpi( list, 0 );
resarr[0] = gcry_sexp_nth_mpi( list, 1, 0 );
assert( resarr[0] );
gcry_sexp_release ( list );
list = gcry_sexp_find_token( s_ciph, "b" , 0 );
assert( list );
resarr[1] = gcry_sexp_cdr_mpi( list, 0 );
resarr[1] = gcry_sexp_nth_mpi( list, 1, 0 );
assert( resarr[1] );
gcry_sexp_release ( list );
}

View File

@ -271,7 +271,7 @@ key_from_sexp( GCRY_MPI *array,
gcry_sexp_release ( list );
return GCRYERR_NO_OBJ; /* required parameter not found */
}
array[idx] = gcry_sexp_cdr_mpi( l2, GCRYMPI_FMT_USG );
array[idx] = gcry_sexp_nth_mpi( l2, 1, GCRYMPI_FMT_USG );
gcry_sexp_release ( l2 );
if( !array[idx] ) {
for(i=0; i<idx; i++) {
@ -288,67 +288,6 @@ key_from_sexp( GCRY_MPI *array,
}
static int
factors_from_sexp( MPI **retarray, GCRY_SEXP sexp )
{
GCRY_SEXP list, l2;
size_t n;
int i;
GCRY_MPI *array;
void *ctx;
list = gcry_sexp_find_token( sexp, "misc-key-info", 0 );
if( !list )
return GCRYERR_INV_OBJ;
l2 = gcry_sexp_cdr( list );
gcry_sexp_release ( list );
list = l2;
if( !list )
return GCRYERR_NO_OBJ;
l2 = gcry_sexp_find_token( list, "pm1-factors", 0 );
gcry_sexp_release ( list );
list = l2;
if( !list )
return GCRYERR_NO_OBJ;
#if 0
/* count factors */
ctx = NULL;
for( n=0; (l2 = gcry_sexp_enum( list, &ctx, 0 )); n++ )
gcry_sexp_release ( l2 );
array = gcry_xcalloc( n, sizeof *array );
if( !array ) {
gcry_sexp_release ( list );
return GCRYERR_NO_MEM;
}
/* retrieve factors */
ctx = NULL;
if( (l2 = gcry_sexp_enum( list, &ctx, 0 )) ) {
gcry_sexp_release ( l2 ); /* skip the car */
for( n=0; (l2 = gcry_sexp_enum( list, &ctx, 0 )); n++ ) {
array[n] = gcry_sexp_car_mpi( l2, 0 );
gcry_sexp_release ( l2 );
if( !array[n] ) {
for(i=0; i < n; i++ )
gcry_mpi_release( array[i] );
gcry_free(array);
gcry_sexp_release ( list );
return GCRYERR_INV_OBJ;
}
}
}
#else
array = gcry_xcalloc( 1, sizeof *array );
#warning dummy code here
#endif
gcry_sexp_release ( list );
*retarray = array;
return 0;
}
static int
gen_elg(int algo, unsigned nbits, KBNODE pub_root, KBNODE sec_root, DEK *dek,
@ -359,7 +298,7 @@ gen_elg(int algo, unsigned nbits, KBNODE pub_root, KBNODE sec_root, DEK *dek,
PACKET *pkt;
PKT_secret_key *sk;
PKT_public_key *pk;
MPI *factors;
GCRY_SEXP misc_key_info;
GCRY_SEXP s_parms, s_key;
assert( is_ELGAMAL(algo) );
@ -380,7 +319,6 @@ gen_elg(int algo, unsigned nbits, KBNODE pub_root, KBNODE sec_root, DEK *dek,
algo == GCRY_PK_ELG ? "elg" : "x-oops" ,
(int)nbits ) )
BUG ();
rc = gcry_pk_genkey( &s_key, s_parms );
gcry_sexp_release( s_parms );
if( rc ) {
@ -408,11 +346,8 @@ gen_elg(int algo, unsigned nbits, KBNODE pub_root, KBNODE sec_root, DEK *dek,
log_error("key_from_sexp failed: rc=%d\n", rc );
return rc;
}
rc = factors_from_sexp( &factors, s_key );
if( rc ) {
log_error("factors_from_sexp failed: rc=%d\n", rc );
return rc;
}
misc_key_info = gcry_sexp_find_token( s_key, "misc-key-info", 0 );
gcry_sexp_release ( s_key );
sk->is_protected = 0;
sk->protect.algo = 0;
@ -444,9 +379,20 @@ gen_elg(int algo, unsigned nbits, KBNODE pub_root, KBNODE sec_root, DEK *dek,
pkt->pkttype = ret_sk ? PKT_SECRET_KEY : PKT_SECRET_SUBKEY;
pkt->pkt.secret_key = sk;
add_kbnode(sec_root, new_kbnode( pkt ));
for(i=0; factors[i]; i++ ) {
add_kbnode( sec_root,
make_mpi_comment_node("#:ELG_factor:", factors[i] ));
if ( misc_key_info ) {
size_t n;
char *buf;
n = gcry_sexp_sprint ( misc_key_info, 0, NULL, 0 );
buf = gcry_xmalloc ( n+4 );
strcpy ( buf, "#::" );
n = gcry_sexp_sprint ( misc_key_info, 0, buf+3, n );
if ( n ) {
n += 3;
add_kbnode( sec_root, make_comment_node_from_buffer( buf, n ));
}
gcry_free ( buf );
gcry_sexp_release (misc_key_info);
}
return 0;
@ -465,7 +411,7 @@ gen_dsa(unsigned int nbits, KBNODE pub_root, KBNODE sec_root, DEK *dek,
PACKET *pkt;
PKT_secret_key *sk;
PKT_public_key *pk;
MPI *factors;
GCRY_SEXP misc_key_info;
GCRY_SEXP s_parms, s_key;
if( nbits > 1024 || nbits < 512 ) {
@ -509,11 +455,8 @@ gen_dsa(unsigned int nbits, KBNODE pub_root, KBNODE sec_root, DEK *dek,
log_error("key_from_sexp failed: rc=%d\n", rc );
return rc;
}
rc = factors_from_sexp( &factors, s_key );
if( rc ) {
log_error("factors_from_sexp failed: rc=%d\n", rc );
return rc;
}
misc_key_info = gcry_sexp_find_token( s_key, "misc-key-info", 0 );
gcry_sexp_release ( s_key );
sk->is_protected = 0;
sk->protect.algo = 0;
@ -530,6 +473,7 @@ gen_dsa(unsigned int nbits, KBNODE pub_root, KBNODE sec_root, DEK *dek,
log_error("protect_secret_key failed: %s\n", gpg_errstr(rc) );
free_public_key(pk);
free_secret_key(sk);
gcry_sexp_release (misc_key_info);
return rc;
}
}
@ -541,18 +485,26 @@ gen_dsa(unsigned int nbits, KBNODE pub_root, KBNODE sec_root, DEK *dek,
/* don't know whether it makes sense to have the factors, so for now
* we store them in the secret keyring (but they are not secret)
* p = 2 * q * f1 * f2 * ... * fn
* We store only f1 to f_n-1; fn can be calculated because p and q
* are known.
*/
pkt = gcry_xcalloc( 1,sizeof *pkt);
pkt->pkttype = ret_sk ? PKT_SECRET_KEY : PKT_SECRET_SUBKEY;
pkt->pkt.secret_key = sk;
add_kbnode(sec_root, new_kbnode( pkt ));
for(i=1; factors[i]; i++ ) /* the first one is q */
add_kbnode( sec_root,
make_mpi_comment_node("#:DSA_factor:", factors[i] ));
if ( misc_key_info ) {
size_t n;
char *buf;
n = gcry_sexp_sprint ( misc_key_info, 0, NULL, 0 );
buf = gcry_xmalloc ( n+4 );
strcpy ( buf, "#::" );
n = gcry_sexp_sprint ( misc_key_info, 0, buf+3, n );
if ( n ) {
n += 3;
add_kbnode( sec_root, make_comment_node_from_buffer( buf, n ));
}
gcry_free ( buf );
gcry_sexp_release (misc_key_info);
}
/* fixme: Merge this with the elg-generate function and release
* some more stuff (memory-leak) */
return 0;

View File

@ -124,8 +124,8 @@ MPI encode_md_value( int pubkey_algo, GCRY_MD_HD md,
int hash_algo, unsigned nbits, int v3compathack );
/*-- comment.c --*/
KBNODE make_comment_node_from_buffer( const char *s, size_t n );
KBNODE make_comment_node( const char *s );
KBNODE make_mpi_comment_node( const char *s, MPI a );
/*-- import.c --*/
void import_keys( char **fnames, int nnames, int fast );

View File

@ -79,3 +79,8 @@ lock-once
# Use "host -l pgp.net | grep www" to figure out a keyserver.
#keyserver wwwkeys.eu.pgp.net
# The environment variable http_proxy is only used when the
# this option is set.
honor-http-proxy

View File

@ -87,7 +87,7 @@ pk_decrypt( int algo, MPI *result, MPI *data, MPI *skey )
if( rc )
return rc;
*result = gcry_sexp_car_mpi( s_plain, 0 );
*result = gcry_sexp_nth_mpi( s_plain, 0, 0 );
gcry_sexp_release( s_plain );
if( !*result )
return -1; /* oops */

View File

@ -1,225 +1,458 @@
-----BEGIN PGP PUBLIC KEY BLOCK-----
Version: GnuPG v0.9.9 (GNU/Linux)
Version: GnuPG v1.0.0e (GNU/Linux)
Comment: For info see http://www.gnupg.org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=TbxO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=gKwz
-----END PGP PUBLIC KEY BLOCK-----

View File

@ -86,13 +86,13 @@ pk_sign( int algo, MPI *data, MPI hash, MPI *skey )
else {
list = gcry_sexp_find_token( s_sig, "r" , 0 );
assert( list );
data[0] = gcry_sexp_cdr_mpi( list, 0 );
data[0] = gcry_sexp_nth_mpi( list, 1, 0 );
assert( data[0] );
gcry_sexp_release (list);
list = gcry_sexp_find_token( s_sig, "s" , 0 );
assert( list );
data[1] = gcry_sexp_cdr_mpi( list, 0 );
data[1] = gcry_sexp_nth_mpi( list, 1, 0 );
assert( data[1] );
gcry_sexp_release (list);
}

986
po/da.po

File diff suppressed because it is too large Load Diff

1009
po/de.po

File diff suppressed because it is too large Load Diff

998
po/eo.po

File diff suppressed because it is too large Load Diff

File diff suppressed because it is too large Load Diff

1004
po/fr.po

File diff suppressed because it is too large Load Diff

999
po/id.po

File diff suppressed because it is too large Load Diff

1000
po/it.po

File diff suppressed because it is too large Load Diff

997
po/ja.po

File diff suppressed because it is too large Load Diff

997
po/nl.po

File diff suppressed because it is too large Load Diff

999
po/pl.po

File diff suppressed because it is too large Load Diff

File diff suppressed because it is too large Load Diff

File diff suppressed because it is too large Load Diff

995
po/ru.po

File diff suppressed because it is too large Load Diff

998
po/sv.po

File diff suppressed because it is too large Load Diff